CN114114157A

CN114114157A - Radar signal detection method and device, readable medium and electronic equipment

Info

Publication number: CN114114157A
Application number: CN202111574530.3A
Authority: CN
Inventors: 王骞然
Original assignee: China Telecom Corp Ltd
Current assignee: China Telecom Corp Ltd
Priority date: 2021-12-21
Filing date: 2021-12-21
Publication date: 2022-03-01

Abstract

The application belongs to the technical field of wireless communication, and particularly relates to a radar signal detection method, a radar signal detection device, a readable medium and electronic equipment. The method comprises the steps of obtaining a baseband exit signal and a radar signal to be detected, and calculating a reference energy mean value of each subclass in a signal domain based on the baseband exit signal; then acquiring a preset sliding window based on the radar signal to be detected, and respectively calculating the current energy mean value of each subclass in the preset sliding window by using the preset sliding window; and finally, determining the interference position of the radar signal to be detected in each subclass according to the reference energy mean value and the current energy mean value. According to the method, the energy difference characteristic of the radar signal and the signal energy of the base station is utilized, the current energy mean value is obtained through the preset sliding window and is compared with the reference energy mean value to determine the interference position of the radar signal to be detected in each subclass, the problem that the base station is wasted due to interference and even damaged due to a base station retransmission mechanism can be avoided through the method, and the normal operation of the base station is guaranteed.

Description

Radar signal detection method and device, readable medium and electronic equipment

Technical Field

The application belongs to the technical field of wireless communication, and particularly relates to a radar signal detection method, a radar signal detection device, a computer readable medium and an electronic device.

Background

A base station, i.e., a common mobile communication base station, is a form of a radio station, which refers to a radio transceiver station for information transfer with a mobile phone terminal through a mobile communication switching center in a certain radio coverage area.

In the process of signal transmission at a base station, due to the existence of radar signals, when a radar and the base station are used in the same frequency band, the radar signals can generate great interference on the base station due to strong energy of the radar signals, so that a retransmission mechanism of the base station is wasted, and the base station continuously consumes and even suffers damage. The existing base station has no radar signal detection, and the effective anti-interference processing can not be carried out on the base station.

It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present application and therefore may include information that does not constitute prior art known to a person of ordinary skill in the art.

Disclosure of Invention

The present application aims to provide a radar signal detection method, a radar signal detection apparatus, a computer readable medium and an electronic device, which at least overcome the technical problems that in the related art, it is impossible to determine whether a radar signal exists in a base station, and the position of the interference of the radar signal causes a retransmission mechanism of the base station to be wasted, even damaged, and the like.

Other features and advantages of the present application will be apparent from the following detailed description, or may be learned by practice of the application.

According to an aspect of an embodiment of the present application, there is provided a radar signal detection method, including:

acquiring a baseband outlet signal and a radar signal to be detected;

calculating a reference energy mean value of each subclass in a signal domain based on the baseband outlet signal;

acquiring a preset sliding window based on the radar signal to be detected, stepping each subclass under the signal domain by using the preset sliding window, and respectively calculating the current energy mean value of each subclass in the preset sliding window;

and determining the interference position of the radar signal to be detected in each subclass according to the relation between the reference energy mean value and the current energy mean value.

In some embodiments of the present application, based on the above technical solution, calculating a reference energy mean value of each sub-class in a signal domain based on the baseband exit signal includes:

acquiring a time domain signal based on the baseband outlet signal;

recording the energy value of each symbol under each time slot in the time domain signal;

and averaging the energy values of all the symbols to obtain a reference energy mean value.

In some embodiments of the application, based on the above technical solution, obtaining a preset sliding window based on the radar signal to be detected, stepping each subclass in the signal domain by using the preset sliding window, and calculating a current energy average value of each subclass in the preset sliding window respectively includes:

acquiring parameters of a radar signal to be detected;

determining a time domain sliding window length m and a time domain stepping value n of a preset sliding window according to the radar signal parameters;

stepping each symbol under each time slot in the time domain signal by using a preset sliding window with the time domain sliding window length of m, wherein the length of one stepping is n, m is more than or equal to 1, and n is less than or equal to m;

respectively recording energy values corresponding to m continuous symbols in a preset sliding window;

and averaging the energy values corresponding to the m symbols to obtain a current energy average value.

acquiring a frequency domain signal based on the baseband outlet signal;

recording the energy value of each resource block in the frequency domain signal;

and averaging the energy values of all the resource blocks to obtain a reference energy average value.

acquiring parameters of a radar signal to be detected;

determining the frequency domain sliding window length m 'and the frequency domain stepping value n' of a preset sliding window according to the radar signal parameters;

stepping each resource block in the frequency domain signal by using a preset sliding window with the length of the frequency domain sliding window being m ', wherein the length of one stepping is n ', m ' is more than or equal to 1, and n ' is less than or equal to m ';

respectively recording energy values corresponding to m' continuous resource blocks in a preset sliding window;

and averaging the energy values corresponding to the m' resource blocks to obtain a current energy average value.

In some embodiments of the present application, based on the above technical solution, determining the interference position of the radar signal to be detected in each subclass according to the relationship between the reference energy mean value and the current energy mean value includes:

calculating the difference value between the current energy mean value and the reference energy mean value to obtain a signal domain energy difference value;

if the signal domain energy difference value is larger than a set threshold value, recording the position of the preset sliding window;

and positioning the subclasses in the preset sliding window position as interference positions of the radar signals to be detected in the signal domain.

In some embodiments of the present application, based on the above technical solution, the signal domain includes a time domain and a frequency domain, and the positioning the subclass within the preset sliding window position as an interference position of the radar signal in the signal domain includes:

positioning the signal in the preset sliding window position as an interference position of the radar signal in a time domain;

positioning the resource block in the preset sliding window position as an interference position of the radar signal in a frequency domain;

and determining the interference position of the radar signal to be detected in the signal domain according to the interference position in the time domain and the interference position in the frequency domain.

According to an aspect of an embodiment of the present application, there is provided a radar signal detection apparatus, where the detection apparatus is disposed between a baseband module and a radio frequency module; the device comprises:

the acquisition module is used for acquiring a baseband outlet signal and a radar signal to be detected;

the reference measuring module is used for calculating the reference energy mean value of each subclass in the signal domain based on the baseband outlet signal;

the sliding window module is used for acquiring a preset sliding window based on the radar signal to be detected, stepping each subclass under the signal domain by using the preset sliding window, and respectively calculating the current energy mean value of each subclass in the preset sliding window;

and the detection positioning module is used for determining the interference position of the radar signal to be detected in each subclass according to the relation between the reference energy mean value and the current energy mean value.

According to an aspect of the embodiments of the present application, there is provided a computer-readable medium on which a computer program is stored, the computer program, when executed by a processor, implementing the radar signal detection method as in the above technical solution.

According to an aspect of an embodiment of the present application, there is provided an electronic apparatus including: a processor; and a memory for storing executable instructions of the processor; wherein the processor is configured to perform the radar signal detection method as in the above solution via execution of the executable instructions.

According to an aspect of embodiments herein, there is provided a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer readable storage medium, and the processor executes the computer instructions, so that the computer device executes the radar signal detection method as in the above technical solution.

In the technical scheme provided by the embodiment of the application, a baseband exit signal and a radar signal to be detected are obtained, and the reference energy mean value of each subclass in a signal domain is calculated based on the baseband exit signal; then acquiring a preset sliding window based on the radar signal to be detected, stepping each subclass under the signal domain by using the preset sliding window, and respectively calculating the current energy mean value of each subclass in the preset sliding window; and finally, determining the interference position of the radar signal to be detected in each subclass according to the relation between the reference energy mean value and the current energy mean value. According to the method, the time domain frame structure and the frequency domain grid resource structure of the signal are utilized to perform sliding window segmented energy detection, and the reference energy mean value of each subclass under the signal domain is calculated to serve as the judgment standard of the signal detection, so that the detection robustness can be improved, and the influence of additional factors can be reduced; can prestore and adjust predetermineeing the sliding window according to radar signal's parameter, when guaranteeing radar signal confidentiality, ensure base station safety. And determining the interference position of the radar signal to be detected in each subclass according to the relation between the reference energy mean value and the current energy mean value in the preset sliding window. The method can avoid the problems of base station retransmission mechanism waste and even damage caused by radar signal interference of the base station, and ensure the normal operation of the base station.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the application.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present application and together with the description, serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the application, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.

Fig. 1 schematically shows a block diagram of an exemplary system architecture to which the solution of the present application applies.

Fig. 2 schematically shows a block diagram of a base station to which the technical solution of the present application is applied.

Fig. 3 schematically shows a flow chart of the radar signal detection method of the present application.

Fig. 4 schematically shows a flowchart of a method for calculating a time-domain reference energy mean value according to the present application.

Fig. 5 schematically shows a flowchart of a method for calculating a mean value of the frequency domain reference energy according to the present application.

Fig. 6 schematically shows a flowchart of a method for calculating a mean value of current energy in the time domain according to the present application.

Fig. 7 schematically shows a preset sliding window stepping diagram in the time domain of the present application.

Fig. 8 schematically shows a flowchart of a method for calculating a current energy mean value in a frequency domain according to the present application.

Fig. 9 schematically shows a preset sliding window stepping diagram in the frequency domain of the present application.

Fig. 10 schematically shows a flowchart of a method for determining the interference position of radar signals to be detected in each subclass according to the present application.

Fig. 11 schematically shows a preset sliding window stepping diagram when the signal domain energy difference value is greater than the set threshold value according to the present application.

Fig. 12 is a block diagram schematically showing a structure of a radar signal detection device according to the present invention.

FIG. 13 schematically illustrates a block diagram of a computer system suitable for use in implementing an electronic device of an embodiment of the present application.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art.

Furthermore, the described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the application. One skilled in the relevant art will recognize, however, that the subject matter of the present application can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and so forth. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the application.

The block diagrams shown in the figures are functional entities only and do not necessarily correspond to physically separate entities. I.e. these functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor means and/or microcontroller means.

The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and operations/steps, nor do they necessarily have to be performed in the order described. For example, some operations/steps may be decomposed, and some operations/steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.

A base station, i.e., a common mobile communication base station, is a form of a radio station, which refers to a radio transceiver station for information transfer with a mobile phone terminal through a mobile communication switching center in a certain radio coverage area. In a simple way, the base station is used to ensure that the mobile phone can keep a signal at any time and any place during the moving process, and can ensure the requirements of conversation, information receiving and sending and the like. The base station transmits and receives messages through the antenna. The main function of the base station is to provide wireless coverage, i.e. to enable wireless signal transmission between a wired communication network and a wireless terminal.

The base station comprises a baseband module and a radio frequency module, and all functions of the base station can be realized by matching the baseband module with the radio frequency module.

The baseband module may be a baseband chip, a baseband circuit, or a baseband processing unit of the base station. The baseband module mainly has the functions of digital-to-analog conversion and modulation. The baseband module comprises an analog-to-digital (AD) conversion circuit which can complete sampling, quantization and coding of analog signals and finally convert the analog signals into digital signals. In addition to coding, the baseband also modulates the signal. Modulation, in short, is to let the "wave" better represent 0 and 1. The most basic modulation methods are Frequency Modulation (FM), Amplitude Modulation (AM), and Phase Modulation (PM). I.e. with different waveforms representing 0 and 1.

The radio frequency module is similar to the baseband module and can be composed of a series of elements for generating radio frequency signals, such as a radio frequency circuit, a radio frequency chip, a radio frequency component and the like in a base station. The radio frequency module is used for transmitting the digital signals of the baseband module in a long distance. The radio frequency module can carry out high-matching modulation on the baseband signal to form a frequency band signal, then the frequency band signal is amplified through the power amplifier, and finally signal transmission is carried out after demodulation.

However, in the process of signal transmission by the base station, due to the existence of the radar signal, when the radar and the base station are used in the same frequency band, the radar signal can generate great interference to the base station due to strong energy of the radar signal, which causes the base station retransmission mechanism to be wasted, and the base station retransmission mechanism is continuously consumed and even damaged.

The retransmission mechanism means that when an Acknowledgement (ACK) times out in the process of checking the clock by the wireless device, the device retransmits the data packet according to the own check clock. TCP (transmission control protocol) dynamically calculates the maximum timeout time to make retransmission decision in order to guarantee high performance communication under any environment. For example, the timeout is controlled in units of 500ms, and the timeout time for each timeout retransmission determination is an integral multiple of 500 ms. If the response still cannot be obtained after the retransmission is carried out once, the retransmission is carried out after waiting for 2 x 500 ms; if no acknowledgement is still obtained, wait 4 x 500ms for retransmission, and so on, and increment exponentially. When a certain retransmission frequency is accumulated, the TCP considers that the network or the opposite-end host is abnormal, and the connection is closed forcibly.

When the base station transmits, due to the existence of radar signal interference, continuous error codes are caused, so that the retransmission mechanism of the base station is wasted, and therefore, the normal use of the base station is influenced. The existing base station has no radar signal detection, and the effective anti-interference processing can not be carried out on the base station.

In order to solve the above technical problem, the present application discloses a radar signal detection method, a radar signal detection apparatus, a computer readable medium, and an electronic device, and the contents of the present application will be further explained by various aspects.

As shown in fig. 1, system architecture 100 may include a terminal device 110, a network 120, and a server 130. The terminal device 110 may include various electronic devices such as a smart phone, a tablet computer, a notebook computer, and a desktop computer. The server 130 may be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, or a cloud server providing cloud computing services. Network 120 may be a communication medium of various connection types capable of providing a communication link between terminal device 110 and server 130, such as a wired communication link or a wireless communication link.

The system architecture in the embodiments of the present application may have any number of terminal devices, networks, and servers, according to implementation needs. For example, the server 130 may be a server group composed of a plurality of server devices. In addition, the technical solution provided in the embodiment of the present application may be applied to the server 130, wherein the server 130 of the present application may be replaced by a control device having statistical monitoring and communication functions, such as a control circuit and a detection chip, and the present application is not limited to this.

As shown in fig. 2, the base station 200 of the present application includes a baseband module 210 and a radio frequency module 220. The server 130 in the system architecture 100 is disposed between the baseband module 210 and the rf module 220.

The server 130 of the present application obtains the baseband outlet signal of the baseband module 210, and can also obtain the radar signal to be detected uploaded by the user through the terminal device 110; then, calculating the reference energy mean value of each subclass in the signal domain based on the baseband outlet signal; and acquiring a preset sliding window based on the radar signal to be detected, stepping each subclass under the signal domain by using the preset sliding window, calculating the current energy mean value of each subclass in the preset sliding window respectively, and finally determining the interference position of the radar signal to be detected in each subclass according to the relation between the reference energy mean value and the current energy mean value.

The above section introduces the content of an exemplary system architecture to which the technical solution of the present application is applied, and then continues to introduce the radar signal detection method of the present application.

As shown in fig. 3, fig. 3 schematically shows a flow chart of the radar signal detection method of the present application.

According to an aspect of an embodiment of the present application, there is provided a radar signal detection method, including steps S310 to S340.

In step S310: and acquiring a baseband exit signal and a radar signal to be detected.

The baseband outlet signal comes from the baseband module, and the baseband module performs analog-to-digital conversion on the analog signal and modulates the analog signal to form the baseband outlet signal. In the baseband egress signal, a time domain signal and a frequency domain signal are included.

Under different standards, the time domain signal and the frequency domain signal corresponding to the baseband outlet signal are different. For example, in a 5G network system, each slot (slot) of a time domain signal includes 14 OFDM (orthogonal frequency division multiplexing) symbols, and in a 100M scenario, a user bandwidth includes 273 Resource Blocks (RBs) in a frequency domain.

The radar signals to be detected may be obtained from the upload of the terminal device 110. The radar signals detected by the method mainly refer to pulse radar signals. From the time domain, the pulse radar signal appears periodically and discontinuously, and the 5G signal appears continuously; the energy of the pulse radar signal is higher in the frequency domain. Wherein the pulsed radar signal further comprises specific signal parameters, such as the period and time characteristics of the radar signal.

In step S320: and calculating the reference energy mean value of each subclass in the signal domain based on the baseband outlet signal.

The signal domain comprises a time domain and a frequency domain, and the reference energy mean value of the time domain and the frequency domain can be calculated based on the baseband outlet signal. Two signal domain calculation methods are disclosed below.

In one embodiment of the present application, as shown in fig. 4, fig. 4 schematically shows a flowchart of a method for calculating a time-domain reference energy mean according to the present application. The method for calculating the time domain reference energy mean value comprises the steps S410-S430.

Step S410: a time domain signal is obtained based on the baseband exit signal.

The time domain signal is obtained through a baseband exit signal of the baseband module, for example, when the signal transmitted by the base station is a 5G signal, each slot (slot) of the time domain signal may include 14 OFDM (orthogonal frequency division multiplexing) symbols.

Step S420: and recording the energy value of each symbol under each time slot in the time domain signal.

Each symbol has a certain energy value under each time slot, and the radar signal can be detected by utilizing the energy value according to the principle that the radar signal energy value is greater than the base station signal. The server 130 of the present application may record the energy value of each symbol at each time slot in the time domain signal. For example, when the signal transmitted by the base station is a 5G signal, the energy value of 14 OFDM (orthogonal frequency division multiplexing) symbols in each slot (slot) of the time domain signal can be recorded.

Step S430: and averaging the energy values of all the symbols to obtain a reference energy mean value.

And adding the energy values of all the symbols, and dividing the energy values by the number of the symbols to obtain a reference energy mean value. For example, the energy values of 14 OFDM (orthogonal frequency division multiplexing) symbols are averaged to obtain a reference energy average value, where the obtained reference energy average value is a reference energy average value (hereinafter referred to as symbol energy average value) of symbols at each time slot

)。

The above discloses a method for calculating a reference energy mean value in a time domain, and the following continues to disclose a method for calculating a reference energy mean value in a frequency domain.

In one embodiment of the present application, as shown in fig. 5, fig. 5 schematically shows a flowchart of a method for calculating a mean value of the frequency domain reference energy according to the present application. The method for calculating the frequency domain reference energy mean value comprises the steps S510-S530.

Step S510: a frequency domain signal is obtained based on the baseband exit signal.

The frequency domain signal is obtained through a baseband outlet signal of the baseband module, for example, when the signal transmitted by the base station is a 5G signal, 273 Resource Blocks (RBs) may be included in a user bandwidth where the frequency domain signal is obtained.

Step S520: and recording the energy value of each resource block in the frequency domain signal.

Resource Blocks (RBs) in the user bandwidth all have a certain energy value. The server 130 of the present application may record the energy value of each resource block in the user bandwidth in the frequency domain signal. For example, when the signal transmitted by the base station is a 5G signal, the energy values of 273 resource blocks in the user bandwidth in the frequency domain signal can be recorded.

Step S530: and averaging the energy values of each resource block to obtain a reference energy average value.

And adding the energy values of all the resource blocks, and dividing the energy values by the number of the resource blocks to obtain a reference energy average value. For example, the energy values of 273 resource blocks are averaged to obtain a reference energy average value, where the reference energy average value obtained here is a reference energy average value of each resource block in the user bandwidth (hereinafter referred to as resource block energy average value for short)

)。

The method and the device obtain the symbol energy mean value by respectively calculating the energy mean value of each symbol under each time slot in the time domain, and obtain the resource block energy mean value by calculating the energy mean value of each resource block in the user bandwidth under the frequency domain. And the symbol energy mean value and the resource block energy mean value are used as the basis for detecting the radar signals, so that the detection robustness can be improved, and the influence of additional factors on the detection of the radar signals is reduced. The accuracy of detection is improved.

Obtained by the stepsMean value of symbol energy

And resource block energy mean

The contents of step S330 are continued.

In step S330: and acquiring a preset sliding window based on the radar signal to be detected, stepping each subclass under the signal domain by using the preset sliding window, and respectively calculating the current energy mean value of each subclass in the preset sliding window.

In an embodiment of the present application, the parameter of the preset sliding window of the present application includes a preset sliding window length and a step value of the preset sliding window, the preset sliding window length indicates that the preset sliding window includes several signal subclasses under the signal domain, and the step value of the preset sliding window indicates several signal subclasses under the signal domain to be stepped forward each time. The signal domain includes a time domain and a frequency domain, and the corresponding signal subclass includes an OFDM symbol and a resource block.

The parameters of the preset sliding window are set based on the radar signals to be detected. The preset sliding window length can be confirmed by referring to the period and time characteristics of the radar signal to be detected, and several lengths are defined according to how many OFDM symbols and resource blocks can be influenced by the radar signal to be detected. For example, the length of the radar signal to be detected is two OFDM symbols, which correspondingly indicates that the radar signal to be detected can affect two OFDM symbols at a time, and therefore, the preset sliding window length can be set to 2. And the step value is determined by the computational power of the detection system. If detection and storage capabilities allow, each step is 1, the most accurate detection result is obtained.

This application acquires through waiting to detect radar signal's characteristic parameter and predetermines sliding window length, can prestore and adjust predetermineeing the sliding window according to radar signal parameter, when guaranteeing radar signal confidentiality, ensures basic station safety. The method can respectively calculate the current energy mean values of the time domain and the frequency domain in the preset sliding window by utilizing the preset sliding window, and then specifically discloses a calculation method of the two mean values.

As shown in fig. 6, fig. 6 schematically shows a flowchart of the method for calculating the current energy mean in the time domain according to the present application.

In an embodiment of the present application, a method for calculating a current energy mean in a time domain includes steps S610 to S650:

step S610: and acquiring parameters of the radar signal to be detected.

The parameters of the radar signal to be detected may include a period and a time characteristic of the radar signal to be detected.

Step S620: and determining the time domain sliding window length m and the time domain stepping value n of the preset sliding window according to the radar signal parameters.

Determining the influence condition of the radar signal to be detected on the base station according to the period and the time characteristic of the radar signal to be detected, and accordingly determining the time domain sliding window length m and the time domain stepping value n of the preset sliding window. For example, the length of the radar signal to be detected is three OFDM symbols, which correspondingly shows that the radar signal to be detected can affect three 5G OFDM symbols at a time. And the step value is determined by the computational power of the detection system. If the detection and storage capacity allows, each step is 1, the most accurate detection result is obtained, so the time domain sliding window length m of the preset sliding window is 3, and the time domain step value n is 1.

The steps S610 to S620 obtain parameters of the radar signal to be detected, and the step of determining the time domain sliding window length m and the time domain stepping value n according to the parameters may be performed before the whole detection starts (i.e., before S310), which is not limited herein.

Step S630: and stepping each symbol under each time slot in the time domain signal by using a preset sliding window with the time domain sliding window length of m, wherein the length of one stepping is n, m is more than or equal to 1, and n is less than or equal to m.

Taking the 5G signal as an example, in the 5G signal, there are 14 OFDM symbols in each slot, and it is assumed that the time domain sliding window length m of the preset sliding window is 3 and the time domain step value n is 1. As shown in fig. 7, fig. 7 schematically shows a preset sliding window stepping diagram in the time domain of the present application. The figure includes 14 OFDM symbols 710, one time domain sliding window 720. Wherein the time domain sliding window 720 includes three OFDM symbols 710. The figure further includes a sliding window to be stepped 730, which represents the position of the next step, and the value n of the time domain step is 1 indicated by the sliding window to be stepped 730, wherein the arrow indicates the step direction to the right.

Step S640: and respectively recording energy values corresponding to m continuous symbols in the preset sliding window.

In the present application, the energy values of three OFDM symbols in the time domain sliding window 720 are recorded at the time corresponding to fig. 7, and then the energy values of the corresponding three OFDM symbols are recorded every subsequent step. Therefore, under the 5G signal, the energy values of three OFDM symbols under the time domain sliding window 720 are recorded a total of 12 times, and the step S650 is continued.

Step S650: and averaging the energy values corresponding to the m symbols to obtain a current energy average value.

Respectively obtaining the energy mean values of three OFDM symbols under the time domain sliding window 720 for 12 times to obtain 12 current energy mean values, where the current energy mean value represents the energy mean value of the OFDM symbols under the time domain (hereinafter referred to as symbol mean value in the current window for short)

) Wherein the current intra-window mean value

May be compared with the mean of the symbol energies in step S430

And (6) carrying out comparison.

The current energy mean value in the time domain is calculated through the method, and then the current energy mean value in the frequency domain is continuously calculated.

As shown in fig. 8, fig. 8 schematically shows a flowchart of a method for calculating a current energy mean value in a frequency domain according to the present application.

In an embodiment of the present application, a method for calculating a current energy mean in a frequency domain includes steps S810 to S850:

step S810: and acquiring parameters of the radar signal to be detected.

And acquiring radar signal parameters from the radar signals to be detected, wherein the radar signal parameters comprise frequency parameters.

Step S820: and determining the frequency domain sliding window length m 'and the frequency domain stepping value n' of the preset sliding window according to the radar signal parameters.

The frequency domain sliding window length m 'and the frequency domain step value n' can be determined by the bandwidth of the radar signal. Here, referring to the content of step S620, it may be determined that the length of the radar signal to be detected is three resource blocks, which correspondingly indicates that the radar signal to be detected may affect three resource blocks at a time, and the step value is determined by the computing capability of the detection system. If the detection and storage capacity allows, the most accurate detection result is obtained when the step is 1 every time, therefore, the corresponding frequency domain sliding window length m ' may be 3, the same frequency domain step value n ' may be according to the frequency characteristic of the detected radar signal, and if not, the frequency domain step value n ' is 1.

The steps S810 to S820 of obtaining the parameters of the radar signal to be detected, and determining the frequency domain sliding window length m 'and the frequency domain stepping value n' according to the parameters may be performed before the whole detection starts (i.e. before step S310), which is not limited herein.

Step S830: and stepping each resource block in the frequency domain signal by using a preset sliding window with the frequency domain sliding window length of m ', wherein the length of one stepping is n ', m ' is more than or equal to 1, and n ' is less than or equal to m '.

Taking the 5G signal as an example, in the 5G signal, 273 resource blocks exist in the user bandwidth, and it is assumed that the frequency domain sliding window length m 'of the preset sliding window is 3 and the frequency domain step value n' is 1. As shown in fig. 9, fig. 9 schematically shows a preset sliding window stepping diagram in the frequency domain of the present application. 273 resource blocks 910, one frequency domain sliding window 920 are included in the figure. Where frequency domain sliding window 920 includes three resource blocks 910. A sliding window 930 to be stepped is also included in the figure, which represents the position of the next step, and the frequency domain step value n is indicated to be 1 through the sliding window 930 to be stepped, wherein the arrow indicates the step direction to the right.

Step S840: respectively recording energy values corresponding to m' continuous resource blocks in a preset sliding window.

In the present application, the energy values of the three resource blocks 910 in the frequency domain sliding window 920 are recorded at the time corresponding to fig. 9, and then the energy values of the corresponding three resource blocks 910 are recorded every subsequent step. Therefore, under the 5G signal, the energy values of the three resource blocks 910 in the frequency domain sliding window 920 are recorded for 271 times in total, and the step S850 is continued.

Step S850: and averaging the energy values corresponding to the m' resource blocks to obtain a current energy average value.

Respectively obtaining the energy average values of three resource blocks under the frequency domain sliding window 920 for 271 times, to obtain 271 current energy average values, where the current energy average value here represents the energy average value of the resource block under the frequency domain (hereinafter referred to as the resource block average value in the current window for short)

) Wherein the mean value of resource blocks in the current window

Can be compared with the resource block energy average value in step S530

And (6) carrying out comparison.

The method calculates the average value of the resource blocks in the current window

And the mean value of the symbols in the current window

Step S340 is continued.

In step S340: and determining the interference position of the radar signal to be detected in each subclass according to the relation between the reference energy mean value and the current energy mean value.

As shown in fig. 10, fig. 10 schematically shows a flowchart of a method for determining the interference position of a radar signal to be detected in each subclass according to the present application.

In an embodiment of the application, a method for determining interference positions of radar signals to be detected in each subclass according to a relation between a reference energy mean value and a current energy mean value includes steps S1010-S1030.

Step S1010: and calculating the difference value between the current energy mean value and the reference energy mean value to obtain a signal domain energy difference value.

The method and the device can respectively confirm the interference position in the time domain and the interference position in the frequency domain. And correspondingly and respectively calculating a time domain energy difference value and a frequency domain energy difference value.

Step S1020: and if the signal domain energy difference value is larger than the set threshold value, recording the position of the preset sliding window.

In an embodiment of the present application, the set threshold of the present application may also be preset according to the radar signal to be detected, for example, the set threshold may be determined according to an energy value difference between the radar signal to be detected and the 5G base station signal, and if the energy value of the radar signal to be detected is much larger than the energy value of the 5G base station signal, the corresponding set threshold is larger. The interference position of the radar signal to be detected in the base station is positioned based on the energy value difference between the radar signal to be detected and the 5G base station signal.

The step of obtaining the set threshold may be performed before the whole detection starts (i.e. before step S310), which is not limited herein.

As shown in fig. 11, fig. 11 schematically shows a preset sliding window stepping diagram when the energy difference of the signal domain of the present application is greater than a set threshold.

Assuming that the threshold is set to be 100, when the time domain preset sliding window step is performed in fig. 11, and the sixth OFDM symbol 1130 is reached, the time domain energy difference Δ of three OFDM symbols in the corresponding time domain sliding window 720 is obtained₁If the frequency exceeds 100, it indicates that at least one of the three OFDM symbols in the corresponding time domain sliding window 720, i.e. the fourth OFDM symbol 1110, the fifth OFDM symbol 1120 and the sixth OFDM symbol 1130, is abnormal, so that the OFDM symbol may be considered as the abnormal symbolTo record the position of the fourth OFDM symbol 1110, the fifth OFDM symbol 1120, and the sixth OFDM symbol 1130 within the time-domain sliding window 720 at that time.

Likewise, the frequency domain sliding window 920 may be located by the above method, which is not described herein.

Step S1030: and positioning the subclasses in the preset sliding window position as the interference positions of the radar signals to be detected in the signal domain.

And after the preset sliding window position is determined, positioning the subclass of the preset sliding window position as the interference position of the radar signal to be detected in the signal domain. For example, continuing with fig. 11 as an example, the interference positions of the radar signal to be detected in the time domain are located at the positions of the fourth OFDM symbol 1110, the fifth OFDM symbol 1120 and the sixth OFDM symbol 1130, so that the interference positions of the radar signal to be detected can be determined by the method of the present application.

And similarly, the interference position of the radar signal to be detected in the frequency domain can be determined, and the interference position corresponds to a plurality of specific resource blocks.

After the interference position is determined, corresponding anti-interference operation can be performed based on the interference position, so that the stability of base station transmission is improved.

The interference position can be determined by determining the specific OFDM symbol of the radar signal to be detected in the time domain, the interference position can be determined by determining the specific resource block of the radar signal to be detected in the frequency domain, and the interference position can be finally determined by combining the two.

In one embodiment of the present application, the present application may position a signal within a preset sliding window position as an interference position of a radar signal in a time domain; positioning a resource block in a preset sliding window position as an interference position of a radar signal in a frequency domain; and then determining the interference position of the radar signal in the signal domain according to the interference position in the time domain and the interference position in the frequency domain.

The interference position can be accurately determined by the method, so that the accuracy of radar signal detection is improved.

In the technical scheme provided by the embodiment of the application, a baseband exit signal and a radar signal to be detected are obtained, and the reference energy mean value of each subclass in a signal domain is calculated based on the baseband exit signal; then acquiring a preset sliding window based on the radar signal to be detected, stepping each subclass under the signal domain by using the preset sliding window, and respectively calculating the current energy mean value of each subclass in the preset sliding window; and finally, determining the interference position of the radar signal to be detected in each subclass according to the relation between the reference energy mean value and the current energy mean value.

The method and the device utilize the difference between the energy of the radar signal and the energy of the base station signal. The sliding window segmented energy detection is carried out through the time domain frame structure and the frequency domain grid resource structure of the signal, and the reference energy mean value of each subclass under the signal domain is calculated to serve as the judgment standard of the signal detection, so that the detection robustness can be improved, and the influence of additional factors can be reduced; the method includes the steps that a preset sliding window is obtained through radar signals to be detected, pre-storage and adjustment can be conducted according to parameters of the radar signals, the safety of a base station is guaranteed while the confidentiality of the radar signals is guaranteed, the interference position of the radar signals to be detected in each subclass is determined according to the relation between a reference energy mean value and a current energy mean value in the preset sliding window, when the difference between the current energy mean value in the preset sliding window and the reference energy mean value is large, the radar signals to be detected are shown to exist at the position of the preset sliding window, the method can be used for avoiding the problem that the base station is wasted due to interference and even suffers damage, and the normal operation of the base station is guaranteed.

It should be noted that although the various steps of the methods in this application are depicted in the drawings in a particular order, this does not require or imply that these steps must be performed in this particular order, or that all of the shown steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc.

The above section describes the contents of the data radar signal detection method of the present application, and the contents of the radar signal detection apparatus of the present application are continuously described next.

Embodiments of the apparatus of the present application are described below, which may be used to perform the radar signal detection methods of the above-described embodiments of the present application. Fig. 12 schematically shows a block diagram of a radar signal detection apparatus according to an embodiment of the present application. As shown in figure 12 of the drawings,

according to an aspect of an embodiment of the present application, there is provided a radar signal detection apparatus 1200, the detection apparatus is disposed between a baseband module and a radio frequency module; the device comprises:

an obtaining module 1210, configured to obtain a baseband exit signal and a radar signal to be detected;

a reference measuring module 1220, configured to calculate a reference energy mean value of each sub-class in the signal domain based on the baseband outlet signal;

the sliding window module 1230 is configured to obtain a preset sliding window based on the radar signal to be detected, step each subclass in the signal domain by using the preset sliding window, and calculate a current energy average value of each subclass in the preset sliding window;

and the detection positioning module 1240 is used for determining the interference position of the radar signal to be detected in each subclass according to the relation between the reference energy mean value and the current energy mean value.

The position of the radar signal detection apparatus 1200 in the present application in the base station may refer to the position of the server 130 in fig. 2, and the server 130 may include a system to which the radar signal detection apparatus 1200 in the present application is applied.

The specific details of the radar signal detection device provided in each embodiment of the present application have been described in detail in the corresponding method embodiment, and are not described herein again.

The foregoing describes the radar signal detection apparatus of the present application, and the following provides further details of other aspects of the present application.

According to an aspect of an embodiment of the present application, there is provided an electronic apparatus including: a processor; and a memory for storing executable instructions for the processor; wherein the processor is configured to perform the radar signal detection method as in the above solution via execution of executable instructions.

Fig. 13 schematically shows a structural block diagram of a computer system of an electronic device for implementing the embodiment of the present application.

It should be noted that the computer system 1300 of the electronic device shown in fig. 13 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.

As shown in fig. 13, the computer system 1300 includes a Central Processing Unit (CPU) 1301 that can perform various appropriate actions and processes according to a program stored in a Read-Only Memory (ROM) 1302 or a program loaded from a storage section 1308 into a Random Access Memory (RAM) 1303. In the random access memory 1303, various programs and data necessary for system operation are also stored. The cpu 1301, the rom 1302, and the ram 1303 are connected to each other via a bus 1304. An Input/Output interface 1305(Input/Output interface, i.e., I/O interface) is also connected to the bus 1304.

The following components are connected to the input/output interface 1305: an input portion 1306 including a keyboard, a mouse, and the like; an output section 1307 including a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, a speaker, and the like; a storage portion 1308 including a hard disk and the like; and a communication section 1309 including a network interface card such as a local area network card, modem, or the like. The communication section 1309 performs communication processing via a network such as the internet. The driver 1310 is also connected to the input/output interface 1305 as necessary. A removable medium 1311 such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like is mounted on the drive 1310 as necessary, so that a computer program read out therefrom is mounted into the storage portion 1308 as necessary.

In particular, according to embodiments of the present application, the processes described in the various method flowcharts may be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program embodied on a computer readable medium, the computer program comprising program code for performing the method illustrated by the flow chart. In such embodiments, the computer program may be downloaded and installed from a network via communications component 1309 and/or installed from removable media 1311. When executed by the central processor 1301, the computer programs perform various functions defined in the system of the present application.

It should be noted that the computer readable medium shown in the embodiments of the present application may be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a Read-Only Memory (ROM), an Erasable Programmable Read-Only Memory (EPROM), a flash Memory, an optical fiber, a portable Compact Disc Read-Only Memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to: wireless, wired, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the application. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.

Other embodiments of the present application will be apparent to those skilled in the art from consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of the invention following, in general, the principles of the application and including such departures from the present disclosure as come within known or customary practice within the art to which the invention pertains.

It will be understood that the present application is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the application is limited only by the appended claims.

Claims

1. A radar signal detection method, comprising:

acquiring a baseband outlet signal and a radar signal to be detected;

2. The radar signal detection method of claim 1, wherein calculating a reference energy mean value of each sub-class in a signal domain based on the baseband exit signal comprises:

acquiring a time domain signal based on the baseband outlet signal;

3. The radar signal detection method according to claim 2, wherein obtaining a preset sliding window based on the radar signal to be detected, stepping each subclass under the signal domain by using the preset sliding window, and calculating a current energy average value of each subclass in the preset sliding window respectively comprises:

acquiring parameters of a radar signal to be detected;

4. The radar signal detection method of claim 1, wherein calculating a reference energy mean value of each sub-class in a signal domain based on the baseband exit signal comprises:

acquiring a frequency domain signal based on the baseband outlet signal;

5. The radar signal detection method according to claim 4, wherein obtaining a preset sliding window based on the radar signal to be detected, stepping each subclass under the signal domain by using the preset sliding window, and calculating a current energy average value of each subclass in the preset sliding window respectively comprises:

acquiring parameters of a radar signal to be detected;

6. The radar signal detection method according to claim 1, wherein determining the interference position of the radar signal to be detected in each subclass according to the relationship between the reference energy mean value and the current energy mean value comprises:

7. The radar signal detection method of claim 6, wherein the signal domain comprises a time domain and a frequency domain, and wherein locating the subclass within the preset sliding window position as an interference position of the radar signal in the signal domain comprises:

8. The radar signal detection device is characterized in that the detection device is arranged between a baseband module and a radio frequency module; the device comprises:

9. A computer-readable medium, on which a computer program is stored which, when being executed by a processor, carries out the radar signal detection method of any one of claims 1 to 7.

10. An electronic device, comprising:

a processor; and

a memory for storing executable instructions of the processor;

wherein the processor is configured to perform the radar signal detection method of any one of claims 1 to 7 via execution of the executable instructions.