CN114978377A

CN114978377A - Channel scene identification method and device and receiving device

Info

Publication number: CN114978377A
Application number: CN202110193709.8A
Authority: CN
Inventors: 周宝龙; 石璟
Original assignee: Datang Mobile Communications Equipment Co Ltd
Current assignee: Datang Mobile Communications Equipment Co Ltd
Priority date: 2021-02-20
Filing date: 2021-02-20
Publication date: 2022-08-30
Anticipated expiration: 2041-02-20
Also published as: CN114978377B

Abstract

The application discloses a channel scene identification method, a channel scene identification device and a receiving device, and relates to the technical field of communication. The specific implementation scheme is as follows: the method comprises the steps of obtaining a channel impact response CIR of a target channel, determining a channel scene of the target channel to be a line-of-sight (LOS) or a non-NLOS according to a first maximum peak value and a second maximum peak value of the CIR, determining the channel scene of the target channel according to the first maximum peak value and the second maximum peak value of the CIR, and improving the efficiency and accuracy of channel scene identification without being influenced by system bandwidth or low signal to noise ratio (SNR).

Description

Channel scene identification method and device and receiving device

Technical Field

The present application relates to the field of communications technologies, and in particular, to a channel scene identification method, apparatus, and receiving apparatus.

Background

Channel scene identification is a very important issue in communication systems. If the channel scenario can be identified in advance, the system performance can be further improved by some signal processing means. For example, in a New 5G air interface (NR), user positioning is an important characteristic, and the positioning accuracy index is up to 0.3 m, and to achieve such high positioning accuracy, a channel scene needs to be accurately identified to improve the positioning accuracy.

Disclosure of Invention

The application provides a method, a device and a receiving device for channel scene identification.

According to an aspect of the present application, there is provided a channel scene recognition method, including:

acquiring a channel impact response CIR of a target channel;

and determining a channel scene of the target channel according to the first maximum peak value and the second maximum peak value of the CIR, wherein the channel scene comprises a line-of-sight environment LOS and a non-line-of-sight environment NLOS.

According to another aspect of the present application, there is provided a channel scene recognition apparatus including:

the acquisition unit is used for acquiring the channel impact response CIR of the target channel;

and the identification unit is used for determining a channel scene of the target channel according to the first maximum peak value and the second maximum peak value of the CIR, wherein the channel scene comprises a line-of-sight environment LOS and a non-line-of-sight environment NLOS.

According to another aspect of the present application, there is provided a receiving apparatus, including a memory, a transceiver, a processor:

a memory for storing a computer program; a transceiver for transceiving data under control of the processor; a processor for reading the computer program in the memory and performing the following operations:

acquiring a Channel Impulse Response (CIR) of a target channel;

According to another aspect of the present application, there is provided a processor-readable storage medium having stored thereon a computer program for causing a processor to execute the channel scene recognition method of the first aspect.

According to the technology of the application, the efficiency and the accuracy of channel scene identification are improved.

It should be understood that the statements in this section do not necessarily identify key or critical features of the embodiments of the present application, nor do they limit the scope of the present application. Other features of the present application will become apparent from the following description.

Drawings

The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:

fig. 1 is a schematic diagram of multiple peaks of a channel according to an embodiment of the present disclosure;

fig. 2 is a schematic flowchart of a channel scene identification method according to an embodiment of the present application;

fig. 3 is a schematic flowchart of another channel scene identification method according to an embodiment of the present application;

fig. 4 is a schematic flowchart of another channel scene identification method according to an embodiment of the present application;

fig. 5 is a schematic diagram of a channel scene recognition effect according to an embodiment of the present disclosure;

fig. 6 is a second schematic diagram illustrating a channel scene recognition effect according to an embodiment of the present application;

fig. 7 is a third schematic diagram illustrating a channel scene recognition effect according to an embodiment of the present application;

fig. 8 is a schematic structural diagram of a channel scene recognition apparatus according to an embodiment of the present application;

fig. 9 is a schematic structural diagram of a receiving apparatus according to an embodiment of the present application.

Detailed Description

In the embodiment of the present application, the term "and/or" describes an association relationship of associated objects, and means that there may be three relationships, for example, a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.

In the embodiments of the present application, the term "plurality" means two or more, and other terms are similar thereto.

The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

In a 3G communication system, such as a Code Division Multiple Access (CDMA) system, a method for identifying an LOS/NLOS channel according to a power difference between a strongest path and a local strongest path, a time difference between a head path and the strongest path, and a delay distribution difference between LOS and NLOS channels is proposed.

However, one of the recognition ways is that the local strongest path selection method cannot cover all 5G NR channel scenarios. Specifically, for 5G NR channels, there is often a power delay profile, for example, CDL _ B channel of 5G Cluster Delay Line (CDL), where Signal to Noise radio (SNR) is 30 dB. As shown in fig. 1, where the abscissa represents time index, the ordinate represents linear power of the path, and the strongest path, i.e., the coordinate position of the maximum peak is (48,0.8201), according to the channel identification scheme of the 3G communication system, the search window of the local strongest path is located behind the strongest path and lags behind the strongest path by α microseconds, and after determining the strongest path, when the local strongest path is found behind the strongest path, where the local strongest path may be the second strongest path, the local strongest path may not be identified in the search window, so that the channel scene may not be identified accurately. Secondly, in the 5G communication system, the system bandwidth can reach 100MHZ, and the multipath resolution capability is 30-100 times of that of the CDMA system, so that the 5G NR system often mistakenly regards noise as multipath, namely a plurality of channel peaks, at low SNR, so that the channel peak identification is inaccurate, and the channel identification is inaccurate.

The embodiment of the application provides a channel scene identification method, which is used for accurately identifying a channel scene.

Fig. 2 is a schematic flowchart of a channel scene identification method according to an embodiment of the present application, and as shown in fig. 2, the method includes the following steps:

step 101, obtaining a channel impulse response CIR of a target channel.

The target channel is a channel for which a corresponding channel scene needs to be determined.

In this case, a Channel Impulse Response (CIR) is used to reflect the basic characteristics of the Channel.

In an implementation manner of this embodiment, a reference signal sequence sent by a sending device is received, a Channel Frequency Response (CFR) is generated according to the received reference signal sequence, and the CFR is subjected to time-Frequency domain transformation to obtain a CIR.

And step 102, determining a channel scene of the target channel according to the first maximum peak value and the second maximum peak value of the CIR.

The channel scenario includes Line Of Sight (LOS) and non-Line Of Sight (NLOS). Under the visual range environment, the wireless signals are transmitted between the transmitting end and the receiving end in an approximately straight line without being blocked. And the non-line-of-sight environment refers to that a wireless signal propagates between a transmitting end and a receiving end in a shielded manner.

In this embodiment, the first maximum peak is a first maximum power peak of the CIR, and the second maximum peak is a second maximum power peak of the CIR; alternatively, the first maximum peak is a first maximum amplitude peak of the CIR and the second maximum peak is a second maximum amplitude peak of the CIR.

In this embodiment, a plurality of peak values of the CIR are identified, and a first maximum peak value and a second maximum peak value are determined from the plurality of peak values. Wherein, the channel scene is a line-of-sight environment LOS or a non-line-of-sight environment NLOS. As another implementation, a channel scenario of the target channel is determined according to a magnitude relationship between a first maximum peak of the CIR and a second maximum peak of the set multiple, where the channel scenario is a line-of-sight environment LOS or a non-line-of-sight environment NLOS.

It should be noted that the scheme for determining the first maximum peak and the second maximum peak will be described in detail in the following embodiments.

In the channel scene identification method of the embodiment of the application, the channel impulse response CIR of the target channel is obtained, and the channel scene of the target channel is determined to be the line-of-sight environment LOS or the non-line-of-sight environment NLOS according to the first maximum peak value and the second maximum peak value of the CIR.

In order to implement the foregoing embodiments, this embodiment provides another possible implementation manner of the channel scene identification method, and specifically describes that the channel scene of the target channel is determined according to a ratio between a first maximum peak and a second maximum peak of the CIR. Fig. 3 is a schematic flowchart of another channel scene identification method according to an embodiment of the present application, and as shown in fig. 3, the method includes the following steps:

step 201, obtaining the channel impulse response CIR of the target channel.

In an implementation manner of the embodiment of the present application, a reference signal sequence sent by a sending device is received, where the reference signal sequence is r (i), and a channel frequency response CFR, that is, h (i), is determined according to the reference signal sequence, where h (i) is determined by the following formula: h (i) ═ r (i) × conj (s (i)).

Where, conj () denotes the conjugate, i is the subcarrier index, i is 1,2, … …, Nsc. S (i) is a local reference signal sequence, and Nsc represents the number of subcarriers.

Further, the CFR is time-frequency domain transformed to obtain the CIR. Wherein, CIR is time domain channel sequence of channel impulse response, which is denoted as h (n), where n is denoted as time domain index.

h (n) IDFT (h (i)), where n is 1,2, … …, Nsc.

In this embodiment, the signal is transformed from the frequency domain to the time domain by an inverse IDFT of the discrete fourier transform.

In step 202, a first maximum peak and a second maximum peak of the CIR are determined.

In this embodiment, the first maximum peak is the first maximum power peak of the CIR, and the second maximum peak is the second maximum power peak of the CIR.

In one implementation of this embodiment, a plurality of peaks of the CIR are identified, and a maximum value is taken for the plurality of peaks to obtain a first maximum peak; the first maximum peak is excluded from the plurality of peaks and then the maximum is again taken to obtain a second maximum peak.

Specifically, it is determined by the following steps:

step 1, determining a power value sequence P (n) of the CIR;

as one implementation, p (n) ═ h (n) · conj (h (n));

where, conj () represents a conjugate, "+" represents a multiplication, and p (n) is a power value sequence.

Step 2, solving the adjacent element difference p _ diff (j) in the power value sequence P (n);

as one implementation, the adjacent element difference P _ diff (j) P (j +1) -P (j),

j

1, 2.., Nsc-1;

it should be noted that, the adjacent element difference P _ diff (j) is determined according to the adjacent elements in the power value sequence P (n), specifically, if P (j +1) is greater than P (j), P _ diff (j) is a positive value, and if P (j +1) is less than P (j), P _ diff (j) is a negative value.

Step 3, determining the symbol p _ diff _ sign (j) of each element in the adjacent element difference p _ diff (j);

as one implementation, p _ diff _ sign (j) is not sign (p _ diff (j));

the function sign (p _ diff (j)) represents the sign of the variable p _ diff (j), if the value of p _ diff (j) in the previous step is negative, the sign of the variable p _ diff (j) is taken by the function sign (p _ diff (j)), and the sign is-1, if the value of p _ diff (j) in the previous step is positive, the sign of the variable p _ diff (j) is taken by the function sign (p _ diff (j), and the sign is +1, for example, the value of p _ diff (3) is negative 2, namely-2, the value of p _ diff _ sign (3) sign (-2) is-1, the value of p _ diff _ sign (5) is positive 2, namely +2, and the value of p _ diff _ sign (5) is +2), and the sign can be determined similarly, and the signs of the elements can be determined, and the enumeration is not one by one.

Step 4, solving the symbol difference of adjacent elements in p _ diff (j), which is expressed as p _ diff _ sign _ diff ();

p_diff_sign_diff(j)＝p_diff_sign(j+1)-p_diff_sign(j),j＝1,2,...,Nsc-2；

step 5, obtaining position indexes of a plurality of peak values to obtain local _ max _ index _ list;

as one implementation, local _ max _ index _ list is initialized to an empty set, the position index value of each peak is determined in a loop according to the symbol difference value p _ diff _ sign _ diff (j) of adjacent elements in p _ diff (j), and the local _ max _ index _ list is continuously updated by using the position index of each peak determined in each loop, so that the position indexes of a plurality of peaks are stored in the local _ max _ index _ list.

local _ max _ index _ list is empty set;

for j＝1:(Nsc-2)

if p_diff_sign_diff(j)＝＝-2then

local_max_index_list＝local_max_index_list∪(j+1)；

that is, when the value of p _ diff _ sign _ diff (j) is-2, it is determined that one position index j +1 after j corresponds to one peak, the position index corresponding to the peak is stored in local _ max _ index _ lis, and the above-mentioned cycle is repeated to determine the position indexes of all peaks.

Compared with the method for identifying the channel scene of the CDMA system in the prior art, the method for determining the position index of each peak value in the embodiment determines the position corresponding to the strongest path and the position corresponding to the local strongest path, and the method for determining the position index of the peak value in the present application can cover each channel scene of 5G communication, and accurately identify the position indexes of a plurality of peak values, so that the problem that part of the peak value position indexes cannot be determined does not exist, and further, the first maximum peak value and the second maximum peak value can be accurately determined according to the position indexes subsequently, so as to realize accurate channel scene identification.

Step 6, determining a plurality of peak values, which are represented by the array local _ max _ list.

As one implementation, the local _ max _ list is P (local _ max _ index _ list), that is, a plurality of peaks, for example, power peaks, are determined according to position indexes of the plurality of peaks, and the plurality of peaks are stored in the local _ max _ list.

Step 7, taking the maximum value of the plurality of peak values to obtain a first maximum peak value pmax 1.

pmax1 is max (local _ max _ list), where the function max () represents the maximum of the multiple peaks in local _ max _ list, i.e., the first maximum peak, i.e., the first maximum power peak, pmax1, is determined.

Further, after the first maximum peak is excluded from the multiple peaks of local _ max _ list, i.e. pmax1 is excluded, for the sake of convenience, it is labeled as local _ max _ list1, according to the above step 7, the maximum value is determined again from the multiple peaks excluding pmax1, i.e. the maximum value in local _ max _ list1 is solved by using function max (), so as to obtain the second maximum peak, i.e. pmax 2.

Step 203, determining the channel scene of the target channel according to the ratio of the first maximum peak value and the second maximum peak value of the CIR.

In this embodiment, if the ratio between the first maximum peak and the second maximum peak of the CIR is greater than the set threshold, it is determined that the channel scene of the target channel is LOS; and if the ratio of the first maximum peak value and the second maximum peak value of the CIR is less than or equal to a set threshold value, determining that the channel scene of the target channel is NLOS.

The set threshold is determined according to the accuracy of LOS identification, and the accuracy is in a positive relation with the set threshold, that is, the higher the set threshold is, the higher the accuracy of LOS identification is.

In this embodiment, the accuracy of LOS identification may be a detection probability of LOS, that is, when the channel scene is LOS, a probability that the target channel scene is LOS is determined. Or the accuracy of LOS identification can be false alarm probability of LOS, that is, when the channel scene is not LOS, the probability that the target channel scene is LOS is determined.

It should be noted that the set threshold in this embodiment may be set according to the requirement of the recognition accuracy, and is not limited in this embodiment.

It should be understood that, when the first maximum peak is a first maximum amplitude peak of the CIR, and the second maximum peak is a second maximum amplitude peak of the CIR, that is, the implementation principle that the peak is an amplitude peak is the same as the implementation principle that the peak is a power peak, and details are not described in this embodiment.

In the channel scene identification method of this embodiment, if the ratio between the first maximum peak and the second maximum peak of the CIR is greater than the set threshold, it is determined that the channel scene of the target channel is LOS, and if the ratio between the first maximum peak and the second maximum peak of the CIR is less than or equal to the set threshold, it is determined that the channel scene of the target channel is NLOS, the channel scene identification method of the target channel is not affected by the system bandwidth, and the identification accuracy is high.

In order to implement the foregoing embodiments, this embodiment provides another possible implementation manner of the channel scene identification method, and specifically describes that the channel scene of the target channel is determined according to a magnitude relationship between a first maximum peak of the CIR and a second maximum peak of the set multiple. Fig. 4 is a schematic flowchart of another channel scene identification method provided in the embodiment of the present application, and as shown in fig. 4, the method includes the following steps:

step 301, obtaining the channel impulse response CIR of the target channel.

Step 302, determine the first maximum peak and the second maximum peak of the CIR.

The explanation of step 301 and step 302 in the above embodiment can be referred to, and the principle is the same, which is not described herein again.

Step 303, determining a channel scene of the target channel according to a magnitude relation between the first maximum peak value of the CIR and the second maximum peak value of the set multiple.

The setting multiple is determined according to the accuracy of LOS identification, and the accuracy and the setting multiple are in a positive relation, namely the higher the setting multiple is, the higher the accuracy of LOS identification is.

For example, the multiple is set to be α, which can be taken according to actual needs, where α is usually greater than 3 and generally between 5 and 7, and α may be higher than 7 to achieve higher accuracy of LOS identification. The LOS identification accuracy rate when the alpha value is 7 is higher than that when the alpha value is 5, that is, the larger the alpha value is, the higher the LOS identification accuracy rate is.

It should be noted that if the NLOS is accurately identified, α may be 3, and in order to accurately identify the LOS, α is greater than 3, so that in order to accurately identify the LOS and the NLOS, α should be greater than 3, and thus, the value is generally between 5 and 7, and a better LOS identification accuracy or NLOS identification accuracy can be obtained.

It should be noted that the value of the setting multiple may be set according to the accuracy of the recognition, and the values listed in this embodiment are only examples and do not limit this embodiment.

In this embodiment, if the first maximum peak is greater than the second maximum peak of the set multiple, it is determined that the channel scene of the target channel is LOS; and if the first maximum peak value is less than or equal to the second maximum peak value of the set multiple, determining that the channel scene of the target channel is NLOS.

For example, setting the multiple to be 7, and if pmax1 is greater than 7 × pmax2, determining that the channel scene of the target channel is LOS; if pmax1 is less than or equal to 7 × pmax2, the channel scenario of the target channel is determined to be NLOS.

In the channel scene identification method of this embodiment, a first maximum peak of the CIR is compared with a second maximum peak of the set multiple, and if the first maximum peak is greater than the second maximum peak of the set multiple, it is determined that a channel scene of the target channel is LOS; and if the first maximum peak value is smaller than or equal to the second maximum peak value of the set multiple, determining that the channel scene of the target channel is NLOS, wherein the channel scene identification method of the target channel is not influenced by the system bandwidth, and the identification accuracy is high.

Based on the above embodiments, the recognition effect of the channel scene of the target channel determined by the channel scene recognition method of the present embodiment is described.

In this embodiment, the recognition effect of the channel scene determined by the method for recognizing the channel scene of the target channel according to the embodiment of the present invention is described based on LOS detection probability and false alarm probability curve under different SNRs, for example, -5dB to 20dB, based on different channel models, for example, a Tappeddlayline (TDL) model TDL _ D, TDL _ C and Additive White Gaussian Noise (AWGN), respectively.

In one scenario, the channel model is AWGN and the channel scenario for the channel is LOS.

As shown in fig. 5, wherein the abscissa is SNR and the ordinate is probability of examination. Based on the channel scene identification method in the above embodiment, the detection probability of determining that the channel scene is LOS is 1, and the identification accuracy is high.

In the second scenario, the channel model is TDL _ D, and the channel scenario of the channel is LOS.

As shown in fig. 6, the abscissa represents SNR, and the ordinate represents probability of examination. Based on the channel scene identification method in the embodiment, when the channel is TDL _ D and the SNR is 5-20dB, the LOS detection probability of the channel scene is determined to be 95.5%, and when the SNR is-5 dB and 0dB, the LOS detection probability of the channel scene is determined to be 91.5% -94%, so that the identification accuracy is high even in a low SNR scene.

In the third scenario, the channel model is TDL _ C, and the channel scenario of the channel is NLOS.

As shown in fig. 7, the horizontal axis represents SNR and the vertical axis represents false alarm probability. Based on the channel scene identification method in the above embodiment, in the case that the channel scene is NLOS, the false alarm probability that the channel scene is LOS is determined to be 0, and the identification accuracy is high.

The embodiment of the application provides a channel scene recognition device, which is used for accurately recognizing a channel scene.

Fig. 8 is a schematic structural diagram of a channel scene recognition apparatus according to an embodiment of the present application.

As shown in fig. 8, the apparatus includes:

an obtaining unit 71, configured to obtain a channel impulse response CIR of the target channel.

An identifying unit 72, configured to determine a channel scenario of the target channel according to the first maximum peak and the second maximum peak of the CIR, where the channel scenario includes a line-of-sight environment LOS and a non-line-of-sight environment NLOS.

Further, as a possible implementation manner, the identifying unit 72 is specifically configured to:

and determining the channel scene of the target channel according to the ratio of the first maximum peak value and the second maximum peak value of the CIR.

As a possible implementation manner, the identifying unit 72 is specifically configured to:

if the ratio is greater than a set threshold value, determining that the channel scene of the target channel is LOS;

and if the ratio is less than or equal to the set threshold, determining that the channel scene of the target channel is NLOS.

As a possible implementation manner, the set threshold is determined according to the accuracy of LOS identification, and the accuracy is in a positive relation with the set threshold.

As another possible implementation manner, the identifying unit 72 is specifically configured to:

and determining the channel scene of the target channel according to the magnitude relation between the first maximum peak value of the CIR and the second maximum peak value of the set multiple.

As another possible implementation manner, the identifying unit 72 is specifically configured to determine that the channel scenario of the target channel is LOS if the first maximum peak is greater than the second maximum peak of the set multiple; and if the first maximum peak value is less than or equal to the second maximum peak value of the set multiple, determining that the channel scene of the target channel is NLOS.

As another possible implementation manner, the set multiple is determined according to the accuracy of LOS identification, and the accuracy is in a positive relation with the set multiple.

As another possible implementation, the first maximum peak is a maximum power peak of the CIR, and the second maximum peak is a sub-maximum power peak of the CIR; alternatively, the first maximum peak is a first maximum amplitude peak of the CIR, and the second maximum peak is a second maximum amplitude peak of the CIR.

As another possible implementation, the apparatus includes:

a processing unit, configured to identify a plurality of peak values of the CIR, obtain a maximum value for the plurality of peak values to obtain the first maximum peak value, and obtain a maximum value again after excluding the first maximum peak value from the plurality of peak values to obtain the second maximum peak value.

As another possible implementation manner, the obtaining unit is specifically configured to:

receiving a reference signal sequence transmitted by a transmitting device;

generating a Channel Frequency Response (CFR) according to the received reference signal sequence;

and performing time-frequency domain transformation on the CFR to obtain the CIR.

The method and the device are based on the same application concept, and because the principles of solving the problems of the method and the device are similar, the implementation of the device and the method can be mutually referred, and repeated parts are not repeated.

It should be noted that the division of the unit in the embodiment of the present application is schematic, and is only a logic function division, and there may be another division manner in actual implementation. In addition, functional units in the embodiments of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.

The integrated unit, if implemented as a software functional unit and sold or used as a stand-alone product, may be stored in a processor readable storage medium. Based on such understanding, the technical solution of the present application may be substantially implemented or contributed by the prior art, or all or part of the technical solution may be embodied in a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, a network device, or the like) or a processor (processor) to execute all or part of the steps of the method according to the embodiments of the present application. And the aforementioned storage medium includes: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.

It should be noted that the apparatus provided in the embodiment of the present application can implement all the method steps implemented by the method embodiment and achieve the same technical effect, and detailed descriptions of the same parts and beneficial effects as the method embodiment in this embodiment are omitted here.

The technical scheme provided by the embodiment of the application can be suitable for various systems, particularly 5G systems. For example, the applicable system may be a global system for mobile communication (GSM) system, a Code Division Multiple Access (CDMA) system, a Wideband Code Division Multiple Access (WCDMA) General Packet Radio Service (GPRS) system, a long term evolution (long term evolution, LTE) system, an LTE Frequency Division Duplex (FDD) system, an LTE Time Division Duplex (TDD) system, an LTE-a (long term evolution) system, a universal mobile system (universal mobile telecommunications system, UMTS), a Worldwide Interoperability for Mobile Access (WiMAX) system, a New Radio network (NR 5) system, etc. These various systems include terminal devices and network devices. The System may further include a core network portion, such as an Evolved Packet System (EPS), a 5G System (5GS), and the like.

In order to implement the foregoing embodiments, the present application provides a receiving apparatus.

Fig. 9 is a schematic structural diagram of a receiving apparatus according to an embodiment of the present application, as shown in fig. 9,

as shown in fig. 9, the terminal includes: transceiver 800, processor 810, memory 820.

A memory 820 for storing a computer program; a transceiver 800 for transceiving data under the control of the processor 810; a processor 810 for reading the computer program in the memory 820 and performing the following operations:

acquiring a Channel Impulse Response (CIR) of a target channel;

A transceiver 800 for receiving and transmitting data under the control of a processor 810.

Where in fig. 9, the bus architecture may include any number of interconnected buses and bridges, with one or more processors, represented by processor 810, and various circuits, represented by memory 820, being linked together. The bus architecture may also link together various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. The bus interface provides an interface. The transceiver 800 may be a number of elements including a transmitter and a receiver that provide a means for communicating with various other apparatus over a transmission medium including wireless channels, wired channels, fiber optic cables, and the like. For different user devices, the user interface may also be an interface capable of interfacing with a desired device externally, including but not limited to a keypad, display, speaker, microphone, joystick, etc.

The processor 810 is responsible for managing the bus architecture and general processing, and the memory 820 may store data used by the processor 810 in performing operations.

Optionally, the processor 810 may be a Central Processing Unit (CPU), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or a Complex Programmable Logic Device (CPLD), and the processor 810 may also adopt a multi-core architecture.

The processor 810 is configured to execute any one of the methods of fig. 2 to 4 provided by the embodiments of the present application according to the obtained executable instructions by calling a computer program stored in a memory. Processor 810 and memory 820 may also be physically located separately.

In order to achieve the above embodiments, an embodiment of the present application provides a processor-readable storage medium, where a computer program is stored, and the computer program is configured to enable the processor to execute the channel scene identification method in the foregoing method embodiment.

The processor-readable storage medium may be any available media or data storage device that can be accessed by a processor, including, but not limited to, magnetic memory (e.g., floppy disks, hard disks, magnetic tape, magneto-optical disks (MOs), etc.), optical memory (e.g., CDs, DVDs, BDs, HVDs, etc.), and semiconductor memory (e.g., ROMs, EPROMs, EEPROMs, non-volatile memory (NAND FLASH), Solid State Disks (SSDs)), etc.

In order to implement the foregoing embodiments, the present application provides a computer program product, which includes a computer program, and when the computer program is executed by a processor, the computer program implements the channel scene identification method described in the foregoing method embodiments.

As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, optical storage, and the like) having computer-usable program code embodied therein.

The present application is described with reference to flowchart illustrations and/or block diagrams of methods, and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer-executable instructions. These computer-executable instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be stored in a processor-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the processor-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.

These processor-executable instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.

It will be apparent to those skilled in the art that various changes and modifications may be made in the present application without departing from the spirit and scope of the application. Thus, if such modifications and variations of the present application fall within the scope of the claims of the present application and their equivalents, the present application is intended to include such modifications and variations as well.

Claims

1. A method for channel scene recognition, the method comprising:

acquiring a Channel Impulse Response (CIR) of a target channel;

2. The method of claim 1, wherein determining the channel scenario of the target channel based on a first maximum peak and a second maximum peak of the CIR comprises:

3. The method of claim 2, wherein determining the channel scenario of the target channel based on a ratio between a first maximum peak and a second maximum peak of the CIR comprises:

if the ratio is larger than a set threshold value, determining that the channel scene of the target channel is LOS;

and if the ratio is smaller than or equal to the set threshold, determining that the channel scene of the target channel is NLOS.

4. The method of claim 3, wherein the set threshold is determined based on an accuracy of LOS identification, the accuracy being in a positive relationship to the set threshold.

5. The method according to any one of claims 1 to 4,

the first maximum peak is a first maximum power peak of the CIR, and the second maximum peak is a second maximum power peak of the CIR;

alternatively, the first maximum peak is a first maximum amplitude peak of the CIR, and the second maximum peak is a second maximum amplitude peak of the CIR.

6. The method according to any one of claims 1-4, further comprising:

identifying a plurality of peaks of the CIR;

taking the maximum value of the plurality of peak values to obtain the first maximum peak value;

and taking the maximum value again after the first maximum peak value is eliminated from the plurality of peak values to obtain the second maximum peak value.

7. The method according to any of claims 1-4, wherein said obtaining the Channel Impulse Response (CIR) of the target channel comprises:

receiving a reference signal sequence transmitted by a transmitting device;

8. A receiving device, comprising a memory, a transceiver, a processor:

acquiring a channel impact response CIR of a target channel;

9. A channel scene recognition apparatus, comprising:

10. A processor-readable storage medium, wherein the processor-readable storage medium stores a computer program for causing the processor to execute the channel scene recognition method according to any one of claims 1 to 7.