CN113950092A - Data acquisition method and system - Google Patents

Data acquisition method and system Download PDF

Info

Publication number
CN113950092A
CN113950092A CN202010617220.4A CN202010617220A CN113950092A CN 113950092 A CN113950092 A CN 113950092A CN 202010617220 A CN202010617220 A CN 202010617220A CN 113950092 A CN113950092 A CN 113950092A
Authority
CN
China
Prior art keywords
antenna
network
data
channel data
acquisition
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010617220.4A
Other languages
Chinese (zh)
Other versions
CN113950092B (en
Inventor
宁杰
张琳坚
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Honor Device Co Ltd
Original Assignee
Honor Device Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Honor Device Co Ltd filed Critical Honor Device Co Ltd
Priority to CN202010617220.4A priority Critical patent/CN113950092B/en
Priority to PCT/CN2021/101584 priority patent/WO2022001758A1/en
Publication of CN113950092A publication Critical patent/CN113950092A/en
Application granted granted Critical
Publication of CN113950092B publication Critical patent/CN113950092B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/08Testing, supervising or monitoring using real traffic
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B17/00Monitoring; Testing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04BTRANSMISSION
    • H04B7/00Radio transmission systems, i.e. using radiation field
    • H04B7/02Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Electromagnetism (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

The embodiment of the application discloses a data acquisition method and a system, comprising the following steps: the control storage module is used for sending a first trigger request to the pre-acquisition module; the pre-acquisition module is used for sending a trigger signal to the network equipment according to the first trigger request, wherein the trigger signal is used for indicating the network equipment to send a reference signal, receiving the reference signal sent by the network equipment, acquiring a network parameter of the reference signal and sending the network parameter to the control storage module; the control storage module is also used for sending a second trigger request to the blind acquisition module, and the second trigger request comprises network parameters; the blind acquisition module is used for receiving the channel data sent by the network equipment according to the network parameters and sending the channel data to the control storage module; the control storage module is also used for receiving a processing request message sent by the post-processing module; and the post-processing module is used for processing the network parameters and the channel data. By adopting the embodiment of the application, the power consumption is saved, and the acquisition efficiency is improved.

Description

Data acquisition method and system
Technical Field
The present application relates to the field of communications technologies, and in particular, to a data acquisition method and system.
Background
With the development of the fifth Generation mobile communication technology (5th-Generation, 5G), the high-speed rail 5G is also beginning to be deployed rapidly. At present, high-speed rail lines such as Shanhuning, Guangdong, Beijing and Lunan start to deploy a 5G private network at home. Under the traditional experimental network, the error of the channel model of the high-speed rail can be very large due to the difference of various longitudinal and transverse terrains (plains, mountainous areas, tunnels, hills, water areas and the like), and the user experience of the terminal equipment on the high-speed rail cannot be accurately evaluated. The 5G high-speed rail outfield test needs to follow the train to run, the test scene is once called, the test reproducibility is extremely low, and the communication problem is difficult to locate. Therefore, a 5G high-speed rail channel simulation test is needed, the 5G high-speed rail channel environment is moved into a laboratory, the test efficiency is improved, and the test cost is reduced.
Currently, the mainstream channel acquisition devices in the industry are devices such as channel depth sounders (channel sounders) and frequency scanners (frequency scanners) designed by companies such as R & S (Rohde & Schwarz), ni (national instruments) and the like. The channel depth finder is a self-sending and self-receiving mechanism and is difficult to collect commercial network channel information. The frequency scanner obtains the amplitude-frequency characteristic of the channel through a frequency sweeping mechanism in a large bandwidth, but the information of the angle, the time delay and the like of the channel is difficult to obtain, so that the acquisition efficiency is not high.
Disclosure of Invention
The embodiment of the application provides a data acquisition method and system, power consumption is saved, and acquisition efficiency is improved.
In a first aspect, an embodiment of the present application provides a data acquisition system, including: the control storage module is used for sending a first trigger request to the pre-acquisition module; the pre-acquisition module is used for sending a trigger signal to the network equipment according to the first trigger request, wherein the trigger signal is used for indicating the network equipment to send a reference signal, receiving the reference signal sent by the network equipment, acquiring a network parameter of the reference signal and sending the network parameter to the control storage module; the control storage module is also used for sending a second trigger request to the blind acquisition module, and the second trigger request comprises network parameters; the blind acquisition module is used for receiving the channel data sent by the network equipment according to the network parameters and sending the channel data to the control storage module; the control storage module is also used for receiving the processing request message sent by the post-processing module and sending the network parameters and the channel data to the post-processing module; and the post-processing module is used for processing the network parameters and the channel data.
The hybrid array antenna is formed by the pre-acquisition module (comprising the modem antenna) and the blind acquisition module (comprising the omnidirectional antenna), so that the power consumption of equipment is reduced, the quantity of the equipment is reduced, the portability is high, and the acquisition efficiency of high-speed rail channel data is improved. The Delay, Doppler and angle domain characteristic parameters of the data of the high-speed rail channel are estimated through the hybrid array antenna, the problem that the array antenna traversal time exceeds the limit of coherence time in a high-speed rail scene is solved, and the estimation of the angle domain characteristic parameters is realized. In addition, the simulation test of the high-speed rail channel of the terminal equipment can be completed in a laboratory, the cost is low, the efficiency is high, and the reproducibility is strong, so that the communication problem and the positioning problem of the terminal equipment can be found more easily, the problem can be solved, and the communication performance of the terminal equipment can be improved.
In one possible design, the network parameters include at least one of frequency domain location, bandwidth, and antenna array traversal period. The working mode of the blind acquisition module is determined through the network parameters, and the acquisition efficiency is improved.
In another possible design, the post-processing module is further configured to generate an original reference signal according to the network parameter, and acquire acquired data of a target symbol in the channel data according to the original reference signal. The invalid data acquisition is reduced, the data acquisition amount is reduced, and the data processing efficiency is improved.
In another possible design, the pre-acquisition module includes a modem antenna and the blind acquisition module includes a meter antenna. Data acquisition is carried out through the modem antenna and the instrument antenna, so that the power consumption of equipment is reduced, the number of the equipment is reduced, the portability is high, and the data acquisition efficiency of a high-speed railway is improved.
In another possible design, the modem antenna and the meter antenna are combined into an antenna array disposed on the antenna panel. The Delay, Doppler and angle domain characteristic parameters of the data of the high-speed rail channel are estimated through the hybrid array antenna, the problem that the array antenna traversal time exceeds the limit of coherence time in the high-speed rail scene is solved, and the estimation of the angle domain characteristic parameters is realized
In another possible design, the spacing between two adjacent antenna elements in the antenna array is adjustable. Different acquisition requirements are met by adjusting the distance between the antenna arrays.
In another possible design, the spacing between two adjacent antenna elements in the antenna array is half the wavelength of the antenna carrier. The antenna array is arranged through the carrier frequency band, the distance between the antenna arrays is arranged according to the wavelength of the carrier, and the data acquisition efficiency of the hybrid array antenna is improved.
In another possible design, the modem antenna and the meter antenna are turned on or off by a preset timing switch. Synchronous acquisition of the modulation and demodulation antenna and the instrument antenna is realized through the timing switch, and the accuracy of channel data estimation is guaranteed.
In another possible design, the modem antenna outputs a clock signal to the meter antenna, and the clock signal is used for the meter antenna and the modem antenna to synchronously acquire. The instrument antenna and the modulation and demodulation antenna are triggered by the clock signal to synchronously acquire, so that the accuracy of channel data estimation is guaranteed.
In another possible design, the control storage module is further configured to store the network parameters and the channel data; the post-processing module is further configured to demodulate the stored network parameters and the stored channel data. And the overflow of data is reduced by a mode of storing before demodulating.
In another possible design, the control storage module includes a buffer area and a disk, and the control storage module is further configured to write the demodulated network parameters and the demodulated channel data into the buffer area, write the demodulated network parameters and the demodulated channel data into the disk after passing through the buffer area, and reduce overflow of data by writing into the buffer area.
In another possible design, two types of data may be collected by the hybrid array antenna: basic channel characteristic data and angle domain characteristic data. The basic channel characteristic data (such as the parameters of Delay, Doppler, etc.) is estimated from the channel data collected by the meter antenna. The angle domain channel characteristic data (e.g., angle domain parameters) can be estimated from the channel data collected by the modem antennas, which are used only for auxiliary estimation of the angle domain parameters, and other collected information can be discarded. Therefore, the estimation of the angle domain parameters is realized, the data acquisition amount is reduced, and the portability of the equipment is ensured.
In another possible design, the channel angle domain characteristic parameters are obtained through hybrid array antenna estimation, and the channel characteristic parameters of the angle domain, the Delay, the Doppler and the like can also be obtained through unified estimation of channel data acquired by the hybrid array antenna.
In another possible design, the pre-acquisition module is a terminal device.
In another possible design, the blind acquisition module is a universal software radio peripheral USRP with an omnidirectional antenna.
In a second aspect, an embodiment of the present application provides a data acquisition method, including: sending a trigger signal to a network device through a modem antenna, wherein the trigger signal is used for instructing the network device to send a reference signal; receiving the reference signal sent by the network equipment through a modem antenna, and acquiring a network parameter of the reference signal; receiving channel data sent by the network equipment through an instrument antenna according to the network parameters; and processing the network parameters and the channel data. The modem antenna comprises the omnidirectional antenna to form the hybrid array antenna, so that the power consumption of equipment is reduced, the number of the equipment is reduced, the portability is high, and the acquisition efficiency of high-speed railway data is improved. The Delay, Doppler and angle domain characteristic parameters of the data of the high-speed rail channel are estimated through the hybrid array antenna, the problem that the array antenna traversal time exceeds the limit of coherence time in a high-speed rail scene is solved, and the estimation of the angle domain characteristic parameters is realized.
In another possible design, an original reference signal is generated according to the network parameter; and acquiring the collected data of the target symbol in the channel data according to the original reference signal. The invalid data acquisition is reduced, the data acquisition amount is reduced, and the data processing efficiency is improved.
In another possible design, the network parameters include at least one of frequency domain position, bandwidth, and antenna array traversal period. The working mode of the instrument antenna is determined through the network parameters, and the acquisition efficiency is improved.
In another possible design, the network parameter and the channel data are stored, and the stored network parameter and the stored channel data are demodulated. And the overflow of data is reduced by a mode of storing before demodulating.
In another possible design, the network parameter and the channel data are demodulated, and the demodulated network parameter and the demodulated channel data are written into a buffer area. By writing to the buffer, data overflow is reduced.
In a third aspect, an embodiment of the present application provides a data acquisition device, including: a processor, a memory and a communication bus, wherein the communication bus is used for realizing the connection communication between the processor and the memory, and the processor executes the program stored in the memory for realizing the steps of the first aspect.
In a fourth aspect, embodiments of the present application provide a computer-readable storage medium having stored therein instructions, which, when executed on a computer, cause the computer to perform the methods of the above-mentioned aspects.
In a fifth aspect, embodiments of the present application provide a computer program product comprising instructions which, when run on a computer, cause the computer to perform the method of the above aspects.
In a sixth aspect, an embodiment of the present application provides a chip, which includes a processor, configured to call and execute instructions stored in a memory, so that a device in which the chip is installed performs the method of any one of the above aspects.
In a seventh aspect, an embodiment of the present application provides another chip, including: the input interface, the output interface, the processor, and optionally the memory, are connected via an internal connection path, the processor is configured to execute code in the memory, and when the code is executed, the processor is configured to perform the method in any of the above aspects.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments or the background art of the present application, the drawings required to be used in the embodiments or the background art of the present application will be described below.
Fig. 1 is a schematic diagram of a high-speed rail signal or a subway signal provided by the present application;
fig. 2 is a schematic diagram of the number of MIMO streams provided in the present application;
FIG. 3 is a schematic view of a meter antenna provided herein;
FIG. 4 is a schematic diagram of a data store provided herein;
fig. 5 is a schematic structural diagram of a data acquisition system according to an embodiment of the present application;
FIG. 6 is a schematic diagram of a storage method provided by an embodiment of the present application;
FIG. 7 is a schematic diagram of another storage manner provided by the embodiment of the present application;
FIG. 8 is a schematic diagram of a joint angle estimation method provided in the embodiments of the present application;
fig. 9 is a schematic view of an antenna panel provided in an embodiment of the present application;
fig. 10 is a schematic view of another antenna panel provided in an embodiment of the present application;
fig. 11 is a schematic flowchart of a synchronization method provided in an embodiment of the present application;
fig. 12 is a schematic flowchart of a data acquisition method according to an embodiment of the present application;
fig. 13 is a schematic structural diagram of a data acquisition device according to an embodiment of the present application.
Detailed Description
The embodiments of the present application will be described below with reference to the drawings.
As shown in fig. 1, fig. 1 is a schematic diagram of a high-speed rail signal or a subway signal provided by the present application. The antenna of the terminal equipment (UE) is fixed, and for high-speed rail signals or subway signals, the base stations are distributed on both sides of the rail, and the terminal equipment always has a signal weak area. A base station generally adopts an 8-antenna technology supporting 4 streams, but the number of downlink multiple-input multiple-output (MIMO) streams of a terminal cannot reach a design expectation, which is mainly caused by the fact that the number of MIMO streams is insufficient, only 1-2 streams exist in most of time, full-rank multiple-stream reception of 3-4 streams is difficult to realize, and 5G peak performance of the terminal is seriously affected. As shown in fig. 2, fig. 2 is a schematic diagram of the number of MIMO streams provided in the present application. Most of the time of the UE MIMO stream number on the 5G high-speed rail is between 1-2 streams, and the designed 4-stream peak value cannot be reached. The reason is that the channel model parameters adopted in the high-speed rail channel estimation design are that the fixed value derived theoretically is not matched with the complex high-speed rail channel characteristics in the real network environment, and the UE cannot flexibly adjust the channel estimation algorithm.
The 5G high-speed rail channel acquisition faces major problems:
(1) different from a Cell Reference Signal (CRS) of 4G, which can be received by all devices within a cell coverage range, a 5G channel full-bandwidth reference signal is hidden, not a cell level but a user level, and is independently allocated for each user, a base station sends the reference signal only when user service exists, and a traditional channel depth finder and a sweep generator cannot acquire the 5G full-bandwidth reference signal and cannot acquire channel characteristics.
(2) Under the special scene of high-speed rail, strict requirements are imposed on the size and power consumption of the instrument. If the meter is too large, it cannot pass the security check, or if the power consumption exceeds the power supply capacity of the high-speed rail seat, the collection device cannot operate. The traditional channel depth finder has overlarge volume and overhigh power consumption, and cannot be normally used in a high-speed rail scene. The sweep generator has poor acquisition performance and cannot acquire the fading channel characteristics of the required channel size scale.
(3) The antennas or antenna arrays used by the current acquisition equipment are all fixed structures (number of antennas, antenna array spacing), and cannot meet requirements for different frequency bands or acquisition parameter requirements (such as time delay and 3D space incoming wave angle) well. Fig. 3 is a schematic diagram of a meter antenna provided in the present application, as shown in fig. 3. The meter is only provided with two antennas (an antenna port #1 and an antenna port #2), and because the number of the antennas of the meter is limited, the angle acquisition of an incoming wave direction is not supported enough in a wave beam direction. Although the setting of more antennas can improve the acquisition precision of channel parameters, the increase of volume and power consumption can also be brought, and the power supply of a high-speed rail or the standard exceeding of security inspection can be caused.
(4) Information acquisition of a signal incoming wave angle and too high speed of a high-speed rail cause that the traversal time of an antenna array exceeds the limit of coherence time, the validity and the integrity of acquired data cannot be confirmed in time, and the data needs to be confirmed offline after the data is acquired. Resulting in low acquisition efficiency and high cost.
(5) The stable writing rate of the portable storage device is limited, and the disk array supporting high-speed writing cannot be applied to a high-speed rail acquisition scene due to too large volume and too high power consumption. For example, as shown in fig. 4, fig. 4 is a schematic diagram of a data storage provided in the present application. The antenna data is demodulated into I data stream and Q data stream after passing through the acquisition equipment, and then input into the storage equipment. Since the writing speed of the disk is 800Mbyte, and the I data stream and the Q data stream are both 800Mbyte, 1.6GB throughput is required, and obviously data is lost, which causes collection failure.
Channel estimation is limited to the UE or the meter's own hardware and software capabilities. Only the channel data collected by the antenna can be read. The frequency band, the number and the array sub-distance of the antenna are fixed, and the antenna with unmatched wavelength can only be used for measuring and collecting signals across the frequency band, so that the performance is reduced, and sometimes even the signals cannot be collected. Real-time estimation is performed by the capability of the device itself, without checking and error correction capability. And an ideal channel model with fixed parameters is adopted, the actual network environment is complex and changeable, and the channel estimation and the algorithm are not completely matched, so that the performance of the UE in the actual network environment is always different from the theoretical performance. In order to solve the above technical problem, embodiments of the present application provide the following solutions.
As shown in fig. 5, fig. 5 is a schematic structural diagram of a data acquisition system according to an embodiment of the present application. The data acquisition system at least comprises a pre-acquisition module 501, a blind acquisition module 503, a control storage module 502 and a post-processing module 504, wherein:
a control storage module 502, configured to send a first trigger request to the pre-acquisition module.
The first trigger request may include acquisition start time, data download server IP, file name duration itself, and the like. The first trigger request may be a pre-acquisition request message.
The pre-acquisition module 501 is configured to send a trigger signal to a network device according to the first trigger request, where the trigger signal is used to instruct the network device to send a reference signal, receive the reference signal sent by the network device, acquire a network parameter of the reference signal, and send the network parameter to the control storage module 502.
Specifically, after receiving the first trigger request, the pre-acquisition module 501 accesses a 5G cell of a target scene, and sends a trigger signal, where the trigger signal is used to initiate a 5G service (e.g., a data downlink tunneling service), after receiving the trigger signal, the base station sends a user-level full-frequency reference signal to the pre-acquisition module 501, and after receiving the full-frequency reference signal, the pre-acquisition module 501 demodulates and decrypts through a modem (modem) and a Subscriber Identity Module (SIM) to obtain a network parameter. And sends a pre-acquisition trigger response to the control storage module 502, the pre-acquisition trigger response including the network parameter. Optionally, the pre-acquisition trigger response may further include 5G service trigger information. The 5G service triggering information is used to indicate whether the 5G service is successfully triggered.
The control storage module 502 is further configured to send a second trigger request to the blind acquisition module, where the second trigger request includes the network parameter.
Optionally, the control storage module 502 may obtain a key network parameter and a key network from the network parameters transmitted by the pre-acquisition module 501 according to the channel acquisition requirement, and determine the carrier frequency and bandwidth of the cell in the current 5G network environment. The second trigger request may include at least one of a carrier frequency, a bandwidth, and a line array traversal period of the cell. The second trigger request may be an acquisition trigger request message.
And the blind acquisition module 503 is configured to receive channel data sent by the network device according to the network parameter, and send the channel data to the control storage module.
Specifically, the blind acquisition module 503 may determine a working mode to acquire channel data according to configuration information such as carrier frequency, bandwidth, acquisition time, or antenna array traversal period of the cell. Optionally, the blind acquisition module 503 may initiate a 5G service (e.g., data downloading), trigger the base station to issue a 5G signal, demodulate the decrypted network parameter from the 5G signal, and send the network parameter to the control storage module 502. Wherein the blind acquisition module 503 is placed adjacent to the pre-acquisition module 501, so that both modules can receive the same 5G signal.
Optionally, the blind collection module 503 may send a collection configuration response message to the control storage module 502, where the collection configuration response message may include first indication information, where the first indication information is used to indicate whether the network parameter is successfully configured. And (4) optional. The acquisition configuration response message may include second indication information indicating whether the channel data acquisition device is operating normally.
The control storage module 502 is further configured to receive a processing request message sent by the post-processing module, and send the network parameter and the channel data to the post-processing module.
Optionally, the control storage module 502 stores the channel data and the network parameters. The method specifically comprises the following two storage modes:
in a first alternative, after the control storage module 502 receives the channel data and the network parameter, the channel data and the network parameter are not directly demodulated, but the channel data and the network parameter are stored first and then stored. As shown in fig. 6, fig. 6 is a schematic diagram of a storage manner provided in the embodiment of the present application. And (3) a demodulation module is arranged at the rear, the channel data is directly input into a storage device, and the I data stream and the Q data stream are obtained through subsequent demodulation processing after the storage. This can save 50% of the data volume.
In a second alternative, a buffer may be created in the control storage module, and the control storage module may write the demodulated network parameters and the channel data into the buffer, and write the demodulated network parameters and the demodulated channel data into a disk after passing through the buffer. As shown in fig. 7, fig. 7 is a schematic diagram of another storage manner provided in the embodiment of the present application. If the memory of the control storage module is larger than the preset threshold value, a buffer area can be created in the memory, the acquired channel data and the network parameters are demodulated to obtain an I data stream and a Q data stream, the I data stream and the Q data stream are firstly written into the buffer area, and then are written into a magnetic disk.
A post-processing module 504, configured to process the network parameter and the channel data.
Optionally, the post-processing module 504 may send a processing request message to the control storage module 502, and the control storage module 502 receives the processing request message, selects corresponding acquired data and network parameters, and transmits the selected acquired data and network parameters to the post-processing module 504.
Optionally, the post-processing module 504 may generate an original reference signal according to the network parameter, and then obtain the collected data of the target symbol from the channel data according to the original reference signal, and process the collected data. Optionally, the post-processing module 504 may verify the validity of the collected data, and return a verification result to the control storage module.
It should be noted that the 5G channel data acquisition mode includes 2 modes, i.e., a super-periodic acquisition mode and a precise synchronous acquisition mode. The super-periodic acquisition mode is that the blind acquisition module 503 acquires data in all 5G actual network environments within a time length range which is much longer than the duration time of a reference signal; then, according to the network parameters received by the pre-acquisition module 501, the post-processing module 504 completes accurate extraction of the reference signal, so as to extract the channel data. In the accurate synchronous acquisition mode, under the instruction of the pre-acquisition module 501 and the control storage module 502, the blind acquisition module 503 and the base station realize time synchronization, and start data acquisition in a 5G actual network environment according to a reference signal sending period, so that the acquisition of invalid data is greatly reduced, the data acquisition amount is reduced, and the post-processing efficiency is improved. The super-periodic acquisition has the advantages of low requirement on time synchronization and simple acquisition implementation, and has the disadvantages of large data acquisition amount, high requirement on storage performance and the need of the post-processing module 504 to extract channel data of a specific reference signal. The accurate synchronous acquisition has the advantages that invalid data are greatly reduced, a large-scale storage disk is not needed, and the efficiency of extracting the channel data of the reference signal is high; the disadvantage is that the requirement on the system synchronization performance is high, and a more complex synchronization time algorithm is needed.
Optionally, the pre-collection module includes a modem antenna, and the blind collection module includes a meter antenna. The modulation and demodulation antenna and the instrument antenna are combined into an antenna array which is arranged on the antenna panel.
Optionally, the pre-acquisition module 501 may be a terminal device UE, and has a modem antenna, for example, a mobile phone. The blind collection module 503 is a collection instrument, and has an omnidirectional instrument antenna or an adjustable independent small antenna, such as a Universal Software Radio Peripheral (USRP). The functions of the control storage module 502 and the post-processing module 504 may be performed by a notebook computer. The maximum value of the high-speed railway private network base station is 8T, the requirement on the parameters of the angle domain is not high, 1 USRP can be used for collecting channel data, and a clock source does not need to be used for synchronization. The omnidirectional antenna array can be used for replacing a high-precision array antenna without an antenna switch. The high-performance solid state mobile hard disk is built in the notebook computer to replace a disk array, so that the storage capacity of ultra-high-speed data stream (such as 800MB/s) is realized.
It should be noted that, for different algorithms, the number of antennas required for estimating the channel angle domain parameter is also different, and generally, at least 4 antennas are required, and the more antennas, the higher the accuracy of estimating the angle domain parameter is. In general, a 100MHz bandwidth meter only has 2 antennas (the number of channels is limited) which can satisfy delay estimation and doppler estimation, but cannot estimate an incoming wave angle, and increasing the number of channels causes an excessively large volume which cannot pass through limited scenes such as a safety check belt and a train, and an excessively high power consumption which cannot be used in an actual network environment. The traditional instrument collection mode can only read own antenna data, the number of the antennas is limited by the number of instrument receiving channels, the fixed value cannot be flexibly adjusted to cope with various scenes, the number of the antennas limits the flow of collected data, too much data can cause the data to be written into a memory in time, and overflow and loss are caused. The existing acquisition instrument for the data of the high-speed rail channel can estimate parameters such as time delay, Doppler and the like, but cannot estimate angle domain parameters, and an antenna is required to be added to calculate the angle parameters.
Two types of data can be collected by the hybrid array antenna: basic channel characteristic data and angle domain characteristic data. Wherein, the basic channel characteristic data (such as the parameters of Delay, Doppler, etc.) is estimated by the channel data collected by the meter antenna. The angle domain channel characteristic data (e.g., angle domain parameters) can be estimated from the channel data collected by the modem antennas, which are used only for auxiliary estimation of the angle domain parameters, and other collected information can be discarded. Therefore, the estimation of the angle domain parameters is realized, the data acquisition amount is not increased, and the portability of the equipment can be guaranteed. Optionally, the channel angle domain characteristic parameters may be obtained through hybrid array antenna estimation, or the channel data collected by the hybrid array antenna may be uniformly estimated to obtain the channel characteristic parameters of the angle domain, the Delay, the Doppler, and the like.
For example, as shown in fig. 8, fig. 8 is a schematic diagram of a joint angle estimation method provided in the embodiment of the present application. Acquiring channel data and a reference signal through an instrument antenna (2-channel), acquiring the reference signal through a modem antenna, converting the data acquired by the instrument antenna and the modem antenna into a uniform format, and finally performing joint angle estimation by combining line of sight (LOS) path estimation alignment, base station antenna position, GPS position and the like.
Optionally, the modem antenna and the meter antenna are combined to form an antenna array disposed on the antenna panel, and a distance between two adjacent antenna arrays in the antenna array is adjustable. For example, as shown in fig. 9, fig. 9 is a schematic view of an antenna panel provided in an embodiment of the present application. The meter antenna and the modem antenna are in the same horizontal plane, and Pz is 0. Px represents the horizontal interval between the antenna array, Py represents the longitudinal separation between the antenna array, and Px and Py freely adjust to satisfy different collection demands.
Optionally, a distance between two adjacent antenna elements in the antenna array is half of a wavelength of an antenna carrier. As shown in fig. 10, fig. 10 is a schematic view of another antenna panel provided in the embodiment of the present application. The position of the modem antenna can be set according to a preset frequency band, and an antenna signal is transmitted to the instrument antenna and the auxiliary receiving equipment through the feeder line. The preset frequency band may be a plurality of commonly used frequency bands. The instrument antenna and the auxiliary antenna are in the same horizontal plane, Pz is 0, Py represents the longitudinal distance between the antenna arrays, Px and Py are freely adjusted, Px is Py is half wavelength of carrier wave.
Optionally, the modem antenna and the meter antenna may be synchronized by using timing synchronization and relative synchronization, so as to implement synchronous acquisition. For timing synchronization, a programmable antenna switch is adopted, and the instrument antenna and the modem antenna are synchronously turned on or off according to a preset acquisition period. For the relative synchronization mode, the acquisition instrument has no synchronization function, and synchronization is realized by a mode of timing forwarding. As shown in fig. 11, fig. 11 is a schematic flowchart of a synchronization method according to an embodiment of the present application. Firstly, synchronizing a modem antenna with a base station, and then sending a clock signal to a meter antenna when the modem antenna detects a reference signal, wherein the clock signal is used for synchronously collecting the meter antenna and the modem antenna.
The combined cooperative work among completely independent and irrelevant devices is realized through a synchronization mechanism, and a mixed antenna array is formed to acquire channel characteristics (such as incoming wave angles). The synchronization mode of the application can be divided into acquisition synchronization and post-processing synchronization.
The acquisition synchronization can realize synchronous starting of acquisition and recording of channel data in the actual network environment among different devices. The channel data acquisition takes a period of millisecond (ms) as a snapshot, and the different devices jointly provide a consistent acquisition window to synchronously start and stop the device. The method comprises the following steps:
(1) and after the acquisition, opening the acquisition window in advance, postponing closing the acquisition window, using data acquired for a plurality of times before and after to compensate for the asynchronous acquired data caused by leveling the switching windows among different devices, and extracting data with the same acquisition time intervals of different devices from the acquired data through the post-processing module to perform synchronous channel estimation.
(2) The industry boundary generally adopts absolute synchronization to the synchronization between different devices, different instruments introduce a unified clock source, and absolute synchronization (such as a high-precision clock and a GPS/Beidou) aiming at one clock source is established. Therefore, a relative synchronization mode based on synchronization signal forwarding is provided, namely, a signal source (a wireless network base station or a wifi AP or the like) is used as a synchronization source, a modem antenna in the blind acquisition module is synchronized with a wireless network, and a synchronization signal is transmitted to the blind acquisition module and the control storage module. Optionally, the pre-acquisition module may transmit a switching signal to the blind acquisition module and the control storage module. For example, a programmed waveform switching signal is used to control, open the acquisition window (and the storage window): 1001; close acquisition window (and storage window): 0110. the programming switch signal is synchronized through simple sequence control, the start-stop synchronization among multi-stage different equipment (without a uniform synchronous interface) is not realized, and the misjudgment of the switch signal caused by interference waves is avoided. Meanwhile, the blind acquisition module supports the function of printing the time stamp, and the time stamp can be printed by taking the subframe duration as a unit. And the data acquired by the blind acquisition module can be synchronized with the time acquired by the modem so as to perform post-processing on the data.
(3) Acquisition synchronization and validity real-time calibration. The pre-acquisition module is integrated with a modem, so that demodulation and decoding can be realized, key information such as the period, the frequency domain position, the sequence generation mode and the like of a reference signal sequence for channel estimation can be acquired, and the key parameters are transmitted to the post-processing module. The blind acquisition module does not have reference signal demodulation and decoding, so that massive channel data storage is delayed, the blind acquisition module responsible for acquiring the channel data cannot inherit the modem, and only can receive a 3D space comprehensive incoming wave signal through the antenna array and transmit the incoming wave signal to the control storage module for local file storage, so that the post-processing module extracts channel characteristics through a channel estimation algorithm.
After receiving the key channel data transmitted by the pre-acquisition module, the post-processing module constructs a local synchronous reference signal sequence, calls the blind acquisition module to acquire the channel data, controls the storage module to store a file of the local channel data (the file contains a reference signal issued by the base station), uses the locally generated reference signal to correlate with the channel data in the file, and if a sample with the correlation degree larger than a preset threshold value can be found, the acquisition is effective. The difference in sample correlation indicates the magnitude of the timing offset, and resynchronization is required if the magnitude of the timing offset exceeds a predetermined threshold.
(4) For the pre-acquisition module, the number of the modem can adopt a commercial module, but since the number of the antennas supported by the module is limited (for example, for a 3.5Ghz band, the number of the antennas is limited to 4 or 6), the number of the modem antennas can be expanded to increase the number of the modem antennas, thereby realizing the improvement of the resolution of the antenna array.
The post-processing synchronization can realize accurate synchronization, and sets a synchronization mode for different devices to realize synchronous extraction of channel characteristics. As mentioned above, the signal acquired by the pre-acquisition module and the wireless network need to be strictly synchronized, and meanwhile, due to the demodulation and decoding capability, the frame synchronization to the millisecond level can be realized, and the reference signal with the millimeter as the periodic unit can be accurately intercepted and taken out to be used as the channel feature extraction.
However, the blind acquisition module adopts a synchronous transmission mechanism of the pre-acquisition module, and the synchronization precision is lower than that of the pre-acquisition module and a wireless network, so a coarse synchronization mode of early window opening and late window closing is adopted for early acquisition, and data with a period longer than a required reference signal period is acquired. And the modem demodulation decoding capability is not provided, and the accurate starting and stopping positions of the reference signals cannot be found. Therefore, the data acquired by the pre-acquisition module and the data acquired by the blind acquisition module cannot be accurately synchronized, and channel estimation and channel feature extraction are performed. Therefore, the application provides a method for carrying out accurate synchronous screening on the data with different timing accuracies from different acquisition devices through the post-processing module. The method comprises the following steps:
(1) the timestamps are synchronized (accurate to the order of milliseconds). The synchronization among different devices is realized by adding timestamps to the data acquired by different devices during acquisition. The method is simple and easy to implement, but if precise synchronization is needed, a uniform precise clock source is also needed, so that power consumption is increased, and synchronization errors are introduced due to the precision difference of adding time stamps to different devices.
(2) And (5) frame synchronization. The post-processing module can receive frame synchronization (including frame head position, frame number, subframe number and the like) of the wireless network provided by the pre-acquisition module and channel data which is not demodulated and decoded by the blind acquisition module, and the post-processing module adds demodulation and decoding to obtain the frame head, the frame number and the subframe number of the reference signal so as to accurately synchronize the acquired data from different devices.
Optionally, the initial phase amplitudes of the channels of the instrument antenna and the initial phase amplitudes of the channels of the modem antenna are different, and the synchronization of the initial states of the channels needs to be completed, and the synchronization states of the channels of the instrument antenna and the channels of the modem antenna are monitored and corrected in the data acquisition process. For example, before acquisition, a modem antenna and a meter antenna simultaneously acquire a reference signal, the modem antenna outputs phase amplitudes received by 1 channel, and the meter antenna estimates phase amplitude differences of 2 channels of the meter antenna and the channels of the modem antenna by taking the phase amplitude of the channel of the modem antenna as a reference. And in the data receiving process, the phase or amplitude difference of the channels between the modem antenna and the 2 submodules of the instrument antenna is checked according to a preset period, and periodic calibration is carried out.
In the embodiment of the application, the hybrid array antenna is formed by the pre-acquisition module (comprising the modem antenna) and the blind acquisition module (comprising the omnidirectional antenna), so that the power consumption of equipment is reduced, the number of the equipment is reduced, the portability is high, and the acquisition efficiency of high-speed railway data is improved. The Delay, Doppler and angle domain characteristic parameters of the data of the high-speed rail channel can be estimated through the hybrid array antenna, the problem that the traversal time of the array antenna exceeds the limit of the coherence time in a high-speed rail scene is solved, and the estimation of the angle domain characteristic parameters is realized. In addition, the simulation test of the high-speed rail channel of the terminal equipment can be completed in a laboratory, the cost is low, the efficiency is high, and the reproducibility is strong, so that the communication problem and the positioning problem of the terminal equipment can be found more easily, the problem can be solved, and the communication performance of the terminal equipment can be improved.
As shown in fig. 12, fig. 12 is a schematic flowchart of a data acquisition method according to an embodiment of the present application. The steps in the embodiments of the present application include at least:
s1201, sending a trigger signal to a network device through a modem antenna, wherein the trigger signal is used for indicating the network device to send a reference signal;
s1202, receiving the reference signal sent by the network equipment through a modem antenna, and acquiring a network parameter of the reference signal;
s1203, receiving channel data sent by the network equipment through an instrument antenna according to the network parameters;
and S1204, processing the network parameters and the channel data.
Optionally, generating an original reference signal according to the network parameter; and acquiring the collected data of the target symbol in the channel data according to the original reference signal.
Optionally, the network parameter includes at least one of a frequency domain position, a bandwidth, and an antenna array traversal period.
Optionally, the network parameter and the channel data are stored, and the stored network parameter and the stored channel data are demodulated.
Optionally, the network parameter and the channel data are demodulated, and the demodulated network parameter and the demodulated channel data are written into a cache area.
The specific implementation method of each step may refer to the methods and steps executed by the pre-acquisition module 501, the blind acquisition module 503, the control storage module 502, and the post-processing module 504 in the foregoing embodiments, and details are not repeated here.
Referring to fig. 13, fig. 13 is a schematic structural diagram of a data acquisition device according to an embodiment of the present disclosure. As shown in fig. 13, the data collecting apparatus may include: at least one processor 1301, at least one communication interface 1302, at least one memory 1303, and at least one communication bus 1304. Optionally, the communication interface 1302 may include a modem antenna and a meter antenna, the post-processing module 504 corresponds to the processor 1301, the control storage module 502 corresponds to the processor 1301 and the memory 1303, the message control function is implemented by the processor 1301, and the data storage function is implemented by the memory 1303.
The processor 1301 may be a central processing unit, a general purpose processor, a digital signal processor, an application specific integrated circuit, a field programmable gate array or other programmable logic device, a transistor logic device, a hardware component, or any combination thereof. Which may implement or perform the various illustrative logical blocks, modules, and circuits described in connection with the disclosure. The processor may also be a combination of computing functions, e.g., comprising one or more microprocessors, a digital signal processor and a microprocessor, or the like. The communication bus 1304 may be a peripheral component interconnect standard PCI bus or an extended industry standard architecture EISA bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one thick line is shown in FIG. 13, but this is not intended to represent only one bus or type of bus. A communication bus 1304 is used to enable connective communication between these components. The communication interface 1302 of the device in this embodiment of the present application is used for performing signaling or data communication with other node devices. The memory 1303 may include a volatile memory, such as a nonvolatile dynamic random access memory (NVRAM), a phase change random access memory (PRAM), a Magnetoresistive Random Access Memory (MRAM), and the like, and a nonvolatile memory, such as at least one magnetic disk memory device, an electrically erasable programmable read-only memory (EEPROM), a flash memory device, such as a NOR flash memory (NOR flash memory) or a NAND flash memory (EEPROM), and a semiconductor device, such as a Solid State Disk (SSD). The memory 1303 may optionally be at least one memory device located remotely from the processor 1301. A set of program codes may optionally be stored in memory 1303. Processor 1301 may optionally also execute programs stored in memory 1303.
Sending a trigger signal to a network device through a modem antenna, wherein the trigger signal is used for instructing the network device to send a reference signal;
receiving the reference signal sent by the network equipment through a modem antenna, and acquiring a network parameter of the reference signal;
receiving channel data sent by the network equipment through an instrument antenna according to the network parameters;
and processing the network parameters and the channel data.
Optionally, the processor 1301 is further configured to perform the following operation steps:
generating an original reference signal according to the network parameter; and acquiring the collected data of the target symbol in the channel data according to the original reference signal.
Optionally, the network parameter includes at least one of a frequency domain position, a bandwidth, and an antenna array traversal period.
Optionally, the processor 1301 is further configured to perform the following operation steps:
and storing the network parameters and the channel data, and demodulating the stored network parameters and the stored channel data.
Optionally, the processor 1301 is further configured to perform the following operation steps:
and demodulating the network parameters and the channel data, and writing the demodulated network parameters and the demodulated channel data into a cache region.
Further, the processor may also cooperate with the memory and the communication interface to perform the operations of the data acquisition device in the embodiments of the above application.
Embodiments of the present application further provide a chip system, where the chip system includes a processor, and is configured to support a data acquisition device to implement the functions involved in any of the above embodiments, such as receiving channel data or processing channel data. In one possible design, the system-on-chip may further include a memory for program instructions and data necessary for the data acquisition device. The chip system may be constituted by a chip, or may include a chip and other discrete devices.
Embodiments of the present application further provide a processor, coupled to the memory, for performing any of the methods and functions related to the data acquisition device in any of the embodiments.
Embodiments of the present application further provide a computer program product containing instructions, which when executed on a computer, cause the computer to perform any of the methods and functions related to the data acquisition device in any of the above embodiments.
Embodiments of the present application further provide an apparatus for performing any of the methods and functions related to the data acquisition device in any of the above embodiments.
The embodiment of the present application further provides a data acquisition system, which includes at least one terminal device and at least one acquisition instrument related to any of the above embodiments.
In the above embodiments, the implementation may be wholly or partially realized by software, hardware, firmware, or any combination thereof. When implemented in software, may be implemented in whole or in part in the form of a computer program product. The computer program product includes one or more computer instructions. When loaded and executed on a computer, cause the processes or functions described in accordance with the embodiments of the application to occur, in whole or in part. The computer may be a general purpose computer, a special purpose computer, a network of computers, or other programmable device. The computer instructions may be stored in a computer readable storage medium or transmitted from one computer readable storage medium to another, for example, from one website network device, computer, server, or data center to another website network device, computer, server, or data center via wire (e.g., coaxial cable, fiber optic, Digital Subscriber Line (DSL)) or wirelessly (e.g., infrared, wireless, microwave, etc.). The computer-readable storage medium can be any available medium that can be accessed by a computer or a data storage device, such as a server, a data center, etc., that incorporates one or more of the available media. The usable medium may be a magnetic medium (e.g., floppy disk, hard disk, magnetic tape), an optical medium (e.g., DVD), or a semiconductor medium (e.g., Solid State Disk (SSD)), among others.
The above-mentioned embodiments further explain the objects, technical solutions and advantages of the present application in detail. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (21)

1. The data acquisition system is characterized by comprising a pre-acquisition module, a blind acquisition module, a control storage module and a post-processing module, wherein:
the control storage module is used for sending a first trigger request to the pre-acquisition module;
the pre-acquisition module is configured to send a trigger signal to a network device according to the first trigger request, where the trigger signal is used to instruct the network device to send a reference signal, receive the reference signal sent by the network device, acquire a network parameter of the reference signal, and send the network parameter to the control storage module;
the control storage module is further configured to send a second trigger request to the blind acquisition module, where the second trigger request includes the network parameter;
the blind acquisition module is used for receiving channel data sent by the network equipment according to the network parameters and sending the channel data to the control storage module;
the control storage module is further configured to receive a processing request message sent by the post-processing module, and send the network parameter and the channel data to the post-processing module;
and the post-processing module is used for processing the network parameters and the channel data.
2. The system of claim 1, wherein the network parameters include at least one of frequency domain location, bandwidth, and antenna array traversal period.
3. The system of claim 1 or 2,
the post-processing module is further configured to generate an original reference signal according to the network parameter, and acquire acquired data of a target symbol in the channel data according to the original reference signal.
4. The system of claim 1 or 2, wherein the pre-acquisition module comprises a modem antenna and the blind acquisition module comprises a meter antenna.
5. The system of claim 4, wherein the modem antenna and the meter antenna are combined into one flexibly configurable size and supported frequency antenna array disposed on an antenna panel.
6. The system of claim 5, wherein a spacing between two adjacent antenna elements in the antenna array is adjustable.
7. The system of claim 5, wherein a spacing between two adjacent antenna elements in the antenna array is half a wavelength of an antenna carrier.
8. The system of claims 4-7, wherein the modem antenna and the meter antenna are turned on or off by preset timing switches.
9. The system of claims 4-7, wherein the modem antenna outputs a clock signal to the meter antenna, the clock signal for the meter antenna to acquire synchronously with the modem antenna.
10. The system of any one of claims 1-9, wherein the control storage module is further configured to store the network parameters and the channel data; the post-processing module is further configured to demodulate the stored network parameters and the stored channel data.
11. The system according to any of claims 1-9, wherein the control storage module comprises a buffer and a disk, and the control storage module is further configured to write the demodulated network parameters and the channel data into the buffer and into the disk after passing through the buffer.
12. The system of any one of claims 1-11, wherein the pre-acquisition module is a terminal device.
13. The system of any of claims 1-12, wherein the blind acquisition module is a Universal Software Radio Peripheral (USRP) with an omni-directional antenna.
14. A method of data acquisition, the method comprising:
sending a trigger signal to a network device through a modem antenna, wherein the trigger signal is used for instructing the network device to send a reference signal;
receiving the reference signal sent by the network equipment through a modem antenna, and acquiring a network parameter of the reference signal;
receiving channel data sent by the network equipment through an instrument antenna according to the network parameters;
and processing the network parameters and the channel data.
15. The method of claim 14, wherein the processing the network parameters and the channel data comprises:
generating an original reference signal according to the network parameter;
and acquiring the collected data of the target symbol in the channel data according to the original reference signal.
16. The method of claim 14 or 15, wherein the network parameters include at least one of frequency domain position, frequency bandwidth, and antenna array traversal period.
17. The method of any one of claims 14-16, further comprising:
and storing the network parameters and the channel data, and demodulating the stored network parameters and the stored channel data.
18. The method of any one of claims 14-17, further comprising:
and demodulating the network parameters and the channel data, and writing the demodulated network parameters and the demodulated channel data into a cache region.
19. A data acquisition device comprising a processor and a memory; wherein the memory has stored therein a set of programs, and the processor is configured to invoke the programs stored in the memory, which when executed, cause the processor to perform the method of any of claims 14-18.
20. An apparatus, comprising a processor coupled with a storage medium, wherein the processor executes instructions in the storage medium to cause the apparatus to perform the method of any of claims 14-18.
21. A chip, comprising: a processor and an interface for retrieving from memory and executing a computer program stored in said memory, performing the method of any of claims 14-18.
CN202010617220.4A 2020-06-30 2020-06-30 Data acquisition method and system Active CN113950092B (en)

Priority Applications (2)

Application Number Priority Date Filing Date Title
CN202010617220.4A CN113950092B (en) 2020-06-30 2020-06-30 Data acquisition method and system
PCT/CN2021/101584 WO2022001758A1 (en) 2020-06-30 2021-06-22 Data collection method and system

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010617220.4A CN113950092B (en) 2020-06-30 2020-06-30 Data acquisition method and system

Publications (2)

Publication Number Publication Date
CN113950092A true CN113950092A (en) 2022-01-18
CN113950092B CN113950092B (en) 2022-06-17

Family

ID=79317388

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010617220.4A Active CN113950092B (en) 2020-06-30 2020-06-30 Data acquisition method and system

Country Status (2)

Country Link
CN (1) CN113950092B (en)
WO (1) WO2022001758A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116761146B (en) * 2023-08-21 2023-11-03 山东辰智电子科技有限公司 Water supply system control method, water supply system, storage medium and water meter collector

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101715200A (en) * 2009-11-04 2010-05-26 武汉虹翼信息有限公司 Method for analyzing situation of mobile network by drive test data of sweep signal generator
CN103079221A (en) * 2012-12-20 2013-05-01 武汉虹翼信息有限公司 Method for conjoint analysis of mobile network condition by using sweep generator and testing mobile phone
CN106998218A (en) * 2017-05-15 2017-08-01 北京欣易晨通信信息技术有限公司 A kind of GSM R mobile datas collecting device and method
US20180109967A1 (en) * 2016-10-14 2018-04-19 At&T Intellectual Property I, Lp. Wireless channel sounder with fast measurement speed and wide dynamic range

Family Cites Families (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104022976A (en) * 2014-06-16 2014-09-03 中国科学院计算技术研究所 Doppler frequency shift estimation method and system for high speed railway LTE system
CN106941682B (en) * 2016-01-05 2019-11-15 ***通信集团山东有限公司 A kind of processing method and equipment of the terminal of resident high-speed rail private network
WO2018028579A1 (en) * 2016-08-08 2018-02-15 Huawei Technologies Co., Ltd. Systems and methods for ue-specific beam management for high frequency wireless communication
CN106375045B (en) * 2016-09-08 2019-01-29 北京交通大学 Multi-link channel detection system and method under a kind of high-speed railway scene
CN108418662B (en) * 2017-02-10 2020-04-03 华为技术有限公司 Reference signal sending method, reference signal receiving method and related equipment
CN110266412B (en) * 2019-07-01 2021-06-18 中国电信股份有限公司 Method and device for predicting SINR of subway communication network

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101715200A (en) * 2009-11-04 2010-05-26 武汉虹翼信息有限公司 Method for analyzing situation of mobile network by drive test data of sweep signal generator
CN103079221A (en) * 2012-12-20 2013-05-01 武汉虹翼信息有限公司 Method for conjoint analysis of mobile network condition by using sweep generator and testing mobile phone
US20180109967A1 (en) * 2016-10-14 2018-04-19 At&T Intellectual Property I, Lp. Wireless channel sounder with fast measurement speed and wide dynamic range
CN106998218A (en) * 2017-05-15 2017-08-01 北京欣易晨通信信息技术有限公司 A kind of GSM R mobile datas collecting device and method

Also Published As

Publication number Publication date
WO2022001758A1 (en) 2022-01-06
CN113950092B (en) 2022-06-17

Similar Documents

Publication Publication Date Title
CN103548400B (en) Method and apparatus for estimating the difference of the timing slip in cellular network
US11844035B2 (en) Method and device for signal detection
CN101378278B (en) Channel measurement for wireless multi-input multi-output communication system
CN107079411A (en) Method and apparatus for the wave beam alignment of the antenna of low-and high-frequency co-sited network
CN110536412B (en) Method, device and storage medium for realizing uplink positioning
CN111669703B (en) NB-IoT terminal positioning system and method
JP4289797B2 (en) Cell coverage extension method and apparatus in mobile communication system
CN102573044A (en) Method and device for locating interference source cell
CN114362811B (en) Doppler frequency compensation device and method for space satellite-borne terminal of space satellite
CN113950092B (en) Data acquisition method and system
Diouf et al. A USRP-based testbed for wideband ranging and positioning signal acquisition
CN111224766B (en) Reference signal transmitting method, reference signal receiving method and communication device
US20220345907A1 (en) Processing Circuitry, Processing Means, Methods and Computer Programs for a Base Station and a User Equipment
CN114828200A (en) Power equipment time synchronization method based on 5G-TSN
CN107453823B (en) Single body test system and method for optical fiber distributed repeater
CN110547012B (en) Method and apparatus for processing signals
CN115550864B (en) 5G NR indoor positioning system and method based on UE uplink signal
CN110830202B (en) Communication method, device and communication system
CN102821457B (en) Clock synchronizing method based on software defined radio and software defined radio system
CN112715036A (en) Performing measurements in a telecommunication system
CN115134744A (en) High-precision carrier positioning method based on 5G transmission power control
WO2022159096A1 (en) Methods and apparatuses for ue-assisted detection of spoofing or inconsistency in timing
Rajchowski et al. The Influence of the Radio Channel on Precision of Position Estimation of the User Terminal Using the NB-IoT Radio Interface
WO2015074242A1 (en) Method and apparatus for improving measurement stability
CN118433855A (en) Positioning method, apparatus, system, device, storage medium and program product

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant