WO2020135652A1

WO2020135652A1 - Electromagnetic wave parameter processing method and processing apparatus and terminal

Info

Publication number: WO2020135652A1
Application number: PCT/CN2019/128951
Authority: WO
Inventors: 高才才; 蓝永海; 丁庆; 吴光胜
Original assignee: 深圳市华讯方舟微电子科技有限公司
Priority date: 2018-12-29
Filing date: 2019-12-27
Publication date: 2020-07-02
Also published as: CN109633565A

Abstract

Provided are an electromagnetic wave processing method and processing apparatus, a terminal and a readable storage medium, belonging to the technical field of electromagnetic waves. The method comprises: acquiring the number of transmitting antennas which are used for transmitting electromagnetic waves (S10); generating a pulse width control parameter of a pulse signal according to the number of transmitting antennas and a preset genetic algorithm model (S20); and then segmenting the mth pulse signal into a first sub-signal and a second sub-signal according to the pulse width control parameter (S30), so that electromagnetic waves emitted by each transmitting antenna have different waveforms. Thus, when the number of antennas of a multi-input-multi-output radar is greater than two, each transmitting antenna has an independent transmitting signal, and thus, higher angular resolution can be acquired by increasing the number of transmitting antennas in an array.

Description

Electromagnetic wave parameter processing method, processing device and terminal

Technical field

The embodiments of the present invention belong to the technical field of electromagnetic waves, and in particular, to an electromagnetic wave processing method, a processing device, a terminal, and a readable storage medium.

Background technique

Millimeter-wave radar is one of the indispensable sensors for realizing intelligent driving assistance and further automatic driving functions. Compared with ultrasonic, image and laser detection methods, millimeter-wave radar has many advantages, such as: good environmental adaptability, measurement The accuracy is less affected by environmental factors such as rain, snow and fog, and the cost is low. It has a good market prospect. Multiple-Input Multiple-Output (MIMO) radar uses multiple transmit antennas and multiple receive antennas. Under the same size, it can effectively increase the virtual aperture of the antenna, thereby obtaining higher angular resolution.

However, in the existing technology, the number of transmitting antennas of a multi-input multi-output radar is limited to two. When the number of antennas exceeds two, other antennas do not have suitable transmission signals, which makes the radar unable to increase the array. The number of antennas to obtain a higher angular resolution.

Summary of the invention

Embodiments of the present invention provide a radar electromagnetic wave processing method, processing device, and readable storage medium, which are intended to solve the problem that the number of transmitting antennas of a multi-input multi-output radar is limited to two, when the number of antennas exceeds two In other antennas, there is no suitable transmission signal, which causes the problem that the radar cannot obtain higher angular resolution by increasing the number of antennas in the array.

In order to solve the above technical problems, the present invention provides an electromagnetic wave parameter processing method. The processing method includes:

Acquiring the number of transmitting antennas for transmitting electromagnetic waves, wherein the electromagnetic waves emitted by each of the transmitting antennas have corresponding pulse signals;

Generating a pulse width control parameter of the pulse signal according to the number of the transmitting antennas and a preset genetic algorithm model;

The m-th pulse signal is divided into a first sub-signal and a second sub-signal according to the pulse width control parameter, where 1≤m≤M, M is the number of the transmitting antennas, m and M are both positive integers , The pulse width t _m1 of the first sub-signal is: t _m1 =α(m)*T _P , the pulse width t _m2 of the second sub-signal is: t _m2 =T _P -t _m1 ,α(m ) Is the pulse width control parameter of the m th pulse signal, α(m+1) is the pulse width control parameter of the m+1 th pulse signal, α(m) is set to be not equal to α(m+1), Tp is The pulse width of the m-th pulse signal.

Optionally, the m-th pulse signal is obtained by the following expression:

Where S _m (t) is the expression of the m-th pulse signal, t is the time parameter, f _m1 is the carrier frequency of the first sub-signal, and f _m2 is the carrier frequency of the second sub-signal, u _m1 is the frequency modulation slope of the first sub-signal, and u _m2 is the frequency modulation slope of the second sub-signal.

Optionally, when m is an odd number, the first sub-signal is an up-frequency modulation signal, and the second sub-signal is a down-frequency modulation signal;

Among them, f _m1 =0, f _m2 =B*T _p /(t _m2 ), u _m1 =B/(t _m1 ), u _m2 =-B/(t _m2 ), B is the frequency of the m-th pulse signal bandwidth.

Optionally, when m is an even number, the first sub-signal is a down-frequency modulation signal, and the second sub-signal is an up-frequency modulation signal;

Among them, f _m1 =B, f _m2 =-B*t _m1 /(t _m2 ), u _m1 =-B/(t _m1 ), u _m2 =B/(t _m2 ), B is the mth pulse signal Frequency bandwidth.

Optionally, the preset genetic algorithm model is:

Where E is the cost function in the genetic algorithm model, γ is the preset weight coefficient, p and q respectively represent the number of the pulse signal, when p=q, R _p,q is the pulse signal Autocorrelation function, when p≠q, R _p,q is the cross-correlation function between the multiple pulse signals, β is the preset main lobe range parameter, and τ is the time delay.

In order to solve the above technical problems, the present invention also provides an electromagnetic wave parameter processing device. The processing device includes:

An antenna acquisition module, configured to acquire the number of transmitting antennas used for transmitting electromagnetic waves, wherein the electromagnetic waves emitted by each of the transmitting antennas have corresponding pulse signals;

A pulse width control parameter calculation module, configured to generate a pulse width control parameter of the pulse signal according to the number of the transmitting antennas and a preset genetic algorithm model;

A pulse signal control module for dividing each pulse signal into a first sub-signal and a second sub-signal according to the pulse width control parameter, where 1≤m≤M and M is the number of the transmitting antennas , 2<M, m and M are both positive integers, the pulse width t _m1 of the first sub-signal is: t _m1 =α(m)* _TP , and the pulse width t _m2 of the second sub-signal is: t _m2 =T _P -t _m1 , α(m) is the pulse width control parameter of the m-th pulse signal, α(m+1) is the pulse width control parameter of the m+1-th pulse signal, α(m) is set Is not equal to α(m+1), Tp is the pulse width of the m-th pulse signal.

An embodiment of the present application further provides a terminal, including a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor implements the computer program to implement the steps of the foregoing method.

Embodiments of the present application also provide a computer-readable storage medium, where the computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the foregoing method are implemented.

Embodiments of the present invention provide an electromagnetic wave processing method, processing device, terminal, and readable storage medium. By acquiring the number of transmitting antennas used to transmit electromagnetic waves, according to the number of transmitting antennas and a preset genetic algorithm The model generates a pulse width control parameter of the pulse signal, and then divides the m-th pulse signal into a first sub-signal and a second sub-signal according to the pulse width control parameter, so that the electromagnetic waves emitted by each transmitting antenna have different waveforms , So that when the number of antennas of most input-multiple output radars exceeds two, each transmit antenna has an independent transmit signal, which can be solved by increasing the number of transmit antennas in the array to obtain a higher angular resolution. The number of transmitting antennas of the multi-input and multi-output radar is limited to two. When the number of antennas exceeds two, other antennas do not have suitable transmission signals, resulting in the radar not being able to obtain higher antennas by increasing the number of antennas in the array. The problem of angular resolution.

BRIEF DESCRIPTION

In order to more clearly explain the technical solutions in the embodiments of the present invention, the drawings required in the description of the embodiments will be briefly introduced below. Obviously, the drawings in the following description are some embodiments of the present invention. Those of ordinary skill in the art can obtain other drawings based on these drawings without creative work.

1 is a schematic diagram of a method for processing electromagnetic wave parameters provided by an embodiment of the present invention;

2 is a schematic diagram of time-frequency characteristics of electromagnetic wave waveforms provided by an embodiment of the present invention;

FIG. 3 is a time-frequency curve diagram of electromagnetic wave waveforms of three transmitting antennas provided by an embodiment of the present invention;

4 is a schematic diagram of the waveform auto-correlation function and the cross-correlation function between the waveforms of the three transmitting antennas provided by an embodiment of the present invention;

5 is a schematic diagram of an electromagnetic wave parameter processing device provided by an embodiment of the present invention;

6 is a schematic structural diagram of a terminal provided by an embodiment of the present invention.

detailed description

In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be described clearly in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are the present invention Some embodiments, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by a person of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

The term "comprising" and any variations thereof in the description and claims of the present invention and in the above drawings are intended to cover non-exclusive inclusions. For example, a process, method or system, product, or device that includes a series of steps or units is not limited to the listed steps or units, but optionally includes steps or units that are not listed, or optionally includes Other steps or units inherent to these processes, methods, products, or equipment. In addition, the terms "first", "second", "third", etc. are used to distinguish different objects, not to describe a specific order.

FIG. 1 is a schematic diagram of an electromagnetic wave parameter processing method according to an embodiment of the present invention. As shown in FIG. 1, the electromagnetic wave parameter processing method in this embodiment includes:

Step S10: Obtain the number of transmitting antennas used for transmitting electromagnetic waves, wherein the electromagnetic waves transmitted by each of the transmitting antennas have corresponding pulse signals;

Step S20: Generate a pulse width control parameter of the pulse signal according to the number of the transmitting antennas and a preset genetic algorithm model;

Step S30: divide the m-th pulse signal into a first sub-signal and a second sub-signal according to the pulse width control parameter, where 1≤m≤M, M is the number of the transmitting antennas, and both m and M Is a positive integer, the pulse width t _m1 of the first sub-signal is: t _m1 =α(m)*T _P , the pulse width t _m2 of the second sub-signal is: t _m2 =T _P -t _m1 , α(m) is the pulse width control parameter of the m-th pulse signal, α(m+1) is the pulse width control parameter of the m+1-th pulse signal, and α(m) is set to be not equal to α(m+1) , _TP is the pulse width of the m-th pulse signal.

In this embodiment, the pulse width control parameters of the pulse signal are generated by the number of transmitting antennas and a preset genetic algorithm model, and the pulse width control parameters are used to control the waveform of the pulse signal in the electromagnetic wave so that each transmission The electromagnetic waves emitted by the antennas have different waveforms, so that when the number of antennas of the most input multiple output radar exceeds two, each transmitting antenna has an independent transmission signal, which can be obtained by increasing the number of transmitting antennas in the array Higher angular resolution. On the other hand, increasing the number of transmitting antennas can not only increase the spatial freedom, obtain a larger virtual aperture and higher angular resolution, but also reduce the cross-correlation level between waveforms and the autocorrelation peak sidelobes.

FIG. 2 is a schematic diagram of the time-frequency characteristics of the m-th pulse signal provided by an embodiment of the present invention. As shown in FIG. 2, the waveform of the electromagnetic wave emitted by the radar antenna is a pulse train, where M is the number of transmitting antennas. Assuming that the frequency bandwidth of each pulse is B and the pulse width is T _P , each pulse is divided into a first sub-signal and a second sub-signal, one is an up-frequency chirp signal, and one is a down-frequency chirp signal. Among them, the two sub-signals have the same frequency range, but the respective pulse widths are different. Therefore, by generating the pulse width control parameter α(m) of the pulse signal according to the number of transmitting antennas and the preset genetic algorithm model, the width of the first sub-signal and the second sub-signal in each pulse signal is controlled, where , The pulse width t _m1 of the first sub-signal is: t _m1 =α(m)*T _P ; the pulse width t _m2 of the second sub-signal is: t _m2 =T _P -t _m1 , due to the pulse width The number of control parameters α(m) is the same as the number of transmitting antennas, and the pulse width control parameter α(m) by generating pulse signals according to the number of transmitting antennas and the preset genetic algorithm model is not equal to α(m+ 1) Therefore, the electromagnetic waves emitted by the respective transmitting antennas can be differentiated, thereby effectively increasing the number of transmitting antennas in one antenna array and breaking through the limitation of the number of transmitting antennas.

In one embodiment, the m-th pulse signal is:

Where S _m (t) is the expression of the m-th pulse signal, t is the time parameter, f _m1 is the carrier frequency of the first sub-signal, and f _m2 is the carrier frequency of the second sub-signal, u _m1 is the frequency modulation slope of the first sub-signal, and u _m2 is the frequency modulation slope of the second sub-signal. In this embodiment, the carrier frequency is also called the carrier frequency, which is a radio wave of a specific frequency. In the process of signal transmission, the carrier frequency does not directly transmit the signal, but loads the signal to a preset fixed Frequency wave.

In one embodiment, when m is an odd number, the first sub-signal is an up-frequency modulation signal, and the second sub-signal is a down-frequency modulation signal;

In one embodiment, when m is an even number, the first sub-signal is a down-frequency modulation signal, and the second sub-signal is an up-frequency modulation signal;

In one embodiment, the preset genetic algorithm model is:

When p=q, R _p,p is the autocorrelation function of the p-th pulse signal, namely:

Where, [tau] represents a delay, t is a variable parameter, S _p ^* pulse signal S _p represents the complex conjugate, wherein, for the expression S _p of the p-th pulse signal.

When p≠q, R _p,q is the cross-correlation function between the p-th pulse signal and the q-th pulse signal, namely:

In this embodiment, Genetic Algorithm (Genetic Algorithm) is a type of randomized search method that evolves from the evolutionary laws of the biological world (survival of the fittest, survival of the fittest). Its main feature is to directly operate on structural objects, there is no limitation of derivation and function continuity, it has inherent implicit parallelism and better global optimization capabilities. It uses probabilistic optimization methods to automatically obtain and guide Optimized search space, adaptively adjust the search direction, no specific rules are required. For example, for an optimization problem that seeks the minimum value of a function, it can generally be described as the following mathematical programming model:

Min (f) (1);

X∈R (2);

Among them, x is the decision variable, formula 1 is the objective function formula, formula 2 and formula 3 are the constraints, U is the basic space, and R is a subset of U. The solution X that satisfies the constraints is called a feasible solution, and the set R represents the set of all solutions that satisfy the constraints and is called the feasible solution set.

In this embodiment, the minimum value of the cost function is solved through the above-mentioned preset genetic algorithm model to determine the pulse width control parameter α(m) of each transmitted waveform.

Specifically, the target detection capability of the MIMO radar depends not only on the autocorrelation sidelobes of a single waveform transmitted by the transmitting antenna, or the cross-correlation level between certain two transmitted waveforms, but also on the signal after digital beamforming Side lobe. The first term in the above genetic algorithm model is the sum of the cross-correlation peaks of the electromagnetic waves emitted by each transmitting antenna, and the second term is the side of the autocorrelation function of all waveforms of the electromagnetic waves emitted by each transmitting antenna and the cross-correlation function and the sum of the waveform Petal peak.

In one embodiment, it is assumed that the MIMO radar has 3 transmit antennas and 6 receive antennas. The α(m) parameter sequence optimized based on the genetic algorithm model is 0.61, 0.97 and 0.5, and the time-frequency characteristic curve of the transmission waveform of the corresponding antenna is shown in FIG. 3, which shows that each waveform has different time-frequency characteristics , Waveform S1 and Waveform S3 are up-modulated and then down-modulated, and Waveform S2 is down-modulated and then up-modulated.

FIG. 4 is the auto-correlation function and the cross-correlation function between the waveforms of the electromagnetic waves emitted by the three transmitting antennas in FIG. 3. 4a is the autocorrelation function of waveform S1, 4b is the autocorrelation function of waveform S2, 4c is the autocorrelation function of waveform S3, 4d is the cross-correlation function between waveform S1 and waveform S2, and 4e is the waveform S1 and The cross-correlation function between the waveform S3, 4f is the cross-correlation function between the waveform S2 and the waveform S3. Comparing Figures 3 and 4 shows that the cross-correlation level between the waveforms has a strong relationship with the pulse width parameter α(m) of the sub-signal. By optimizing this parameter, the peak value of the cross-correlation between the waveforms can be effectively reduced The MIMO radar using this waveform set can accurately detect multiple targets and accurately estimate the distance, speed and azimuth information of each target.

FIG. 5 is a schematic structural diagram of an electromagnetic wave parameter processing device according to an embodiment of the present invention. As shown in FIG. 5, the processing device in this embodiment includes:

The antenna acquiring module 10 is used to acquire the number of transmitting antennas used for transmitting electromagnetic waves, wherein the electromagnetic waves emitted by each of the transmitting antennas have corresponding pulse signals;

A pulse width control parameter calculation module 20, configured to generate a pulse width control parameter of the pulse signal according to the number of the transmitting antennas and a preset genetic algorithm model;

The pulse signal control module 30 is configured to divide the m-th pulse signal into a first sub-signal and a second sub-signal according to the pulse width control parameter, where 1≤m≤M, and M is the number of the transmitting antennas , M and M are both positive integers, and the pulse width tm1 of the first sub-signal is:

t _m1 =α(m)* _TP ;

The pulse width tm2 of the second sub-signal is:

t _m2 =T _P -t _m1 ;

Where α(m) is the pulse width control parameter of the m-th pulse signal, α(m+1) is the pulse width control parameter of the m+1-th pulse signal, and α(m) is set to not equal to α(m+ 1), Tp is the pulse width of the m-th pulse signal.

In this embodiment, the antenna acquisition module 10 acquires the number of transmitting antennas used to emit electromagnetic waves, and the pulse width control parameter calculation module 20 generates the pulse width of the pulse signal through the number of transmitting antennas and a preset genetic algorithm model Control parameters. The pulse signal control module 30 divides the m-th pulse signal into a first sub-signal and a second sub-signal according to the pulse width control parameter. The pulse width control parameter is used to control the waveform of the pulse signal in the electromagnetic wave so that The electromagnetic waves emitted by each transmitting antenna have different waveforms, so that when the number of antennas of the most input multiple output radar exceeds two, each transmitting antenna has an independent transmission signal, which can be increased by increasing the number of transmitting antennas in the array. Quantity for higher angular resolution. On the other hand, increasing the number of transmitting antennas can not only increase the spatial freedom, obtain a larger virtual aperture and higher angular resolution, but also reduce the cross-correlation level between waveforms and the autocorrelation peak side lobe.

FIG. 2 is a schematic diagram of the time-frequency characteristics of the m-th pulse signal provided by an embodiment of the present invention. As shown in FIG. 2, the waveform of the electromagnetic wave emitted by the radar antenna is a pulse train, where M is the number of transmitting antennas. Assuming that the frequency bandwidth of each pulse is B and the pulse width is T _P , each pulse is divided into a first sub-signal and a second sub-signal, one is an up-frequency chirp signal, and one is a down-frequency chirp signal. Among them, the two sub-signals have the same frequency range, but the respective pulse widths are different. Therefore, by generating the pulse width control parameter α(m) of the pulse signal according to the number of transmitting antennas and the preset genetic algorithm model, the width of the first sub-signal and the second sub-signal in each pulse signal is controlled, where , The pulse width t _m1 of the first sub-signal is: t _m1 =α(m)*T _P , and the pulse width t _m2 of the second sub-signal is: t _m2 =T _P -t _m1 , due to the pulse width The number of control parameters α(m) is the same as the number of transmitting antennas, and the pulse width control parameter α(m) by generating pulse signals according to the number of transmitting antennas and the preset genetic algorithm model is not equal to α(m+ 1) Therefore, the electromagnetic waves emitted by the respective transmitting antennas can be differentiated, thereby effectively increasing the number of transmitting antennas in one antenna array and breaking through the limitation of the number of transmitting antennas.

In one embodiment, the m-th pulse signal is:

In one embodiment, the preset genetic algorithm model is:

Where, τ represents a time delay, t is a variable parameter, S _p ^* pulse signal S _p represents the complex conjugate.

Specifically, the target detection capability of the MIMO radar depends not only on the autocorrelation sidelobes of a single waveform transmitted by the transmitting antenna, or the cross-correlation level between certain two transmitted waveforms, but also on the signal after digital beamforming Side lobe. The first term in the above genetic algorithm model is the sum of the cross-correlation peaks of the electromagnetic waves emitted by each transmitting antenna, and the second term is the side of the autocorrelation function of all waveforms of the electromagnetic waves emitted by each transmitting antenna and the sum of the cross-correlation functions between the waveforms. Petal peak.

As shown in FIG. 6, the present application provides a terminal for implementing the above electromagnetic wave parameter processing method, and the terminal may be a smartphone, tablet computer, personal computer (PC), personal digital assistant (PDA), learning machine, etc. The terminal includes one or more input devices 83 (only one shown in FIG. 8) and one or more output devices 84 (only one shown in FIG. 6). The processor 81, the memory 82, the input device 83, and the output device 84 are connected through a bus 85.

It should be understood that, in the embodiment of the present application, the so-called processor 81 may be a central processing unit (Central Processing Unit, CPU), and the processor may also be other general-purpose processors, digital signal processors (Digital Signal Processor, DSP) , Application specific integrated circuit (Application Specific Integrated Circuit, ASIC), field programmable gate array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gates or transistor logic devices, discrete hardware components, etc. The general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

The input device 83 may include a keyboard, a touchpad, a fingerprint sensor (for collecting user's fingerprint information and direction information of the fingerprint), a microphone, etc., and the output device 84 may include a display, a speaker, and the like.

The memory 82 may include a read-only memory and a random access memory, and provide instructions and data to the processor 81. Part or all of the memory 81 may also include non-volatile random access memory. For example, the memory 82 may also store device type information.

The memory 82 stores a computer program, and the computer program can run on the processor 81. For example, the computer program is a program of a method for reminding an alarm clock. When the processor 81 executes the computer program, the steps in the embodiment of the method for implementing the alarm reminder described above, for example, steps 101 to 103 shown in FIG. 1. Alternatively, when the processor 81 executes the computer program, the functions of each module/unit in the foregoing device embodiments are realized, for example, the functions of the units 10 to 30 shown in FIG. 5.

The computer program may be divided into one or more modules/units, and the one or more modules/units are stored in the memory 82 and executed by the processor 81 to complete the present application. The one or more modules/units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program in the terminal of the electromagnetic wave parameter processing method.

Those skilled in the art can clearly understand that, for convenience and conciseness of description, only the above-mentioned division of each functional unit and module is used as an example for illustration. In practical applications, the above-mentioned functions may be allocated by different functional units, Module completion means that the internal structure of the device is divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above integrated unit may use hardware It can also be implemented in the form of software functional units. In addition, the specific names of each functional unit and module are only for the purpose of distinguishing each other, and are not used to limit the protection scope of the present application. For the specific working processes of the units and modules in the above system, reference may be made to the corresponding processes in the foregoing method embodiments, which will not be repeated here.

In the above embodiments, the description of each embodiment has its own emphasis. For a part that is not detailed or recorded in an embodiment, you can refer to the related descriptions of other embodiments.

Persons of ordinary skill in the art may realize that the units and algorithm steps of the examples described in conjunction with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in hardware or software depends on the specific application of the technical solution and design constraints. Professional technicians can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

In the embodiments provided in this application, it should be understood that the disclosed device/terminal and method may be implemented in other ways. For example, the device/terminal embodiments described above are only schematic. For example, the division of the modules or units is only a division of logical functions. In actual implementation, there may be other divisions, such as multiple units or Components can be combined or integrated into another system, or some features can be ignored or not implemented. In addition, the displayed or discussed mutual coupling or direct coupling or communication connection may be indirect coupling or communication connection through some interfaces, devices or units, and may be in electrical, mechanical or other forms.

The unit described as a separate component may or may not be physically separated, and the component displayed as the unit may or may not be a physical unit, that is, it may be located in one place, or may be distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist alone physically, or two or more units may be integrated into one unit. The above integrated unit can be implemented in the form of hardware or software function unit.

If the integrated module/unit is implemented in the form of a software functional unit and sold or used as an independent product, it may be stored in a computer-readable storage medium. Based on this understanding, the present application can implement all or part of the processes in the methods of the above embodiments, or it can be completed by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium. When the program is executed by the processor, the steps of the foregoing method embodiments may be implemented. Wherein, the computer program includes computer program code, and the computer program code may be in a source code form, an object code form, an executable file, or some intermediate form, etc.

The computer-readable medium may include any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a mobile hard disk, a magnetic disk, an optical disk, a computer memory, and a read-only memory (Read-Only Memory, ROM) , Random Access Memory (Random Access Memory, RAM), electrical carrier signals, telecommunications signals and software distribution media, etc. It should be noted that the content contained in the computer-readable medium can be appropriately increased or decreased according to the requirements of legislation and patent practice in jurisdictions. For example, in some jurisdictions, according to legislation and patent practice, computer-readable media Does not include electrical carrier signals and telecommunications signals.

The above-mentioned embodiments are only used to illustrate the technical solutions of the present application, not to limit them; although the present application has been described in detail with reference to the foregoing embodiments, persons of ordinary skill in the art should understand that they can still implement the foregoing The technical solutions described in the examples are modified, or some of the technical features are equivalently replaced; and these modifications or replacements do not deviate from the spirit and scope of the technical solutions of the embodiments of the present application. Within the scope of protection of this application.

Claims

An electromagnetic wave parameter processing method, characterized in that the processing method includes:

Acquiring the number of transmitting antennas used for transmitting electromagnetic waves, wherein the electromagnetic waves emitted by each of the transmitting antennas have corresponding pulse signals, and the number is m;

Generating corresponding pulse width control parameters of the m pulse signals according to the number of the transmitting antennas and a preset genetic algorithm model;

Divide each pulse signal into a first sub-signal and a second sub-signal according to the pulse width control parameter, where 1≤m≤M, M is the number of the transmitting antennas, 2<M, m and M are all positive integers, the pulse width t m1 of the first sub-signal is: t m1 =α(m)*T P , and the pulse width t m2 of the second sub-signal is: t m2 =T P -t m1 , α(m) is the pulse width control parameter of the mth pulse signal, α(m+1) is the pulse width control parameter of the m+1th pulse signal, and α(m) is set to not equal to α(m+ 1), Tp is the pulse width of the m-th pulse signal.
The processing method according to claim 1, wherein the m-th pulse signal is obtained by the following expression:

Where S m (t) is the expression of the m-th pulse signal, t is the time parameter, f m1 is the carrier frequency of the first sub-signal, and f m2 is the carrier frequency of the second sub-signal, u m1 is the frequency modulation slope of the first sub-signal, and u m2 is the frequency modulation slope of the second sub-signal.
The processing method according to claim 2, wherein when m is an odd number, the first sub-signal is an up-frequency modulation signal, and the second sub-signal is a down-frequency modulation signal;

Among them, f m1 =0, f m2 =B*T p /(t m2 ), u m1 =B/(t m1 ), u m2 =-B/(t m2 ), B is the frequency of the m-th pulse signal bandwidth.
The processing method according to claim 2, wherein when m is an even number, the first sub-signal is a down-frequency modulation signal, and the second sub-signal is an up-frequency modulation signal;

Among them, f m1 =B, f m2 =-B*t m1 /(t m2 ), u m1 =-B/(t m1 ), u m2 =B/(t m2 ), B is the mth pulse signal Frequency bandwidth.
The processing method according to claim 1, wherein the preset genetic algorithm model is:

Where E is the cost function in the genetic algorithm model, γ is the preset weight coefficient, p and q respectively represent the number of the pulse signal, when p=q, R p,q is the pulse signal Autocorrelation function, when p≠q, R p,q is the cross-correlation function between the multiple pulse signals, β is the preset main lobe range parameter, and τ is the time delay.
An electromagnetic wave parameter processing device, characterized in that the processing device includes:

An antenna acquisition module, configured to acquire the number of transmitting antennas used for transmitting electromagnetic waves, wherein the electromagnetic waves emitted by each of the transmitting antennas have corresponding pulse signals;

A pulse width control parameter calculation module, configured to generate a pulse width control parameter of the pulse signal according to the number of the transmitting antennas and a preset genetic algorithm model;

The pulse signal control module is used to divide the m-th pulse signal into a first sub-signal and a second sub-signal according to the pulse width control parameter, where 1≤m≤M, M is the number of the transmitting antennas, m and M are both positive integers, the pulse width t m1 of the first sub-signal is: t m1 =α(m)*T P , and the pulse width t m2 of the second sub-signal is: t m2 =T P -t m1 , α(m) is the pulse width control parameter of the m-th pulse signal, α(m+1) is the pulse width control parameter of the m+1-th pulse signal, and α(m) is set to not equal to α( m+1), Tp is the pulse width of the m-th pulse signal.
The processing device according to claim 6, wherein the m-th pulse signal is obtained by the following expression:

Where Sm(t) is a function of the m-th pulse signal, f m1 is the carrier frequency of the first sub-signal, f m2 is the carrier frequency of the second sub-signal, and u m1 is the first The frequency modulation slope of the sub-signal, u m2 is the frequency modulation slope of the second sub-signal.
The processing device according to claim 7, wherein when m is an odd number, the first sub-signal is an up-frequency modulation signal, and the second sub-signal is a down-frequency modulation signal;

Among them, f m1 =0, f m2 =B*T p /(t m2 ), u m1 =B/(t m1 ), u m2 =-B/(t m2 ), B is the frequency of the m-th pulse signal bandwidth.
A terminal, including a memory, a processor, and a computer program stored in the memory and runable on the processor, characterized in that, when the processor executes the computer program, claims 1 to 5 are implemented Any one of the steps of the method.
A readable storage medium storing a computer program, characterized in that, when the computer program is executed by a processor, the steps of the processing method according to any one of claims 1 to 5 are realized.