Multi-channel consistency estimation and compensation method and device and storage medium

Abstract

The invention relates to a multi-channel consistency estimation and compensation method and device and a storage medium. The method comprises the following steps: generating an antenna correction random sequence, and modulating the antenna correction random sequence to obtain a pilot frequency sequence; a cyclic prefix is added to the pilot frequency sequence, the pilot frequency sequence added with the cyclic prefix is subjected to digital-to-analog conversion and a power divider, and a multi-channel signal is obtained; the multi-channel signal is sent to a digital processing unit of a target array antenna, a reading result of the target array antenna is obtained, and the reading result comprises array element signals corresponding to a plurality of array elements of the target array antenna; estimating a phase difference and an amplitude difference of the target array antenna based on a reading result, and determining a time delay compensation value and an amplitude compensation value of each array element; and performing multi-channel amplitude and phase compensation on the target array antenna based on the time delay compensation value and the amplitude compensation value. According to the method, the amplitude difference and the phase difference between the channels are estimated more accurately, the real-time performance is high, and the stability is good.

Description

Technical Field

[0001] The present application relates to the field of anti-interference technology, and in particular to a multi-channel consistency estimation and compensation method, device and storage medium. Background Art

[0002] Array signal processing refers to setting up an array composed of sensors at different positions to receive spatial signals, and extracting the signals received by the array and their characteristic information through specific signal processing, so as to further achieve the purpose of retaining the desired signal and suppressing interference and noise.

[0003] The existence of array errors will directly affect or cause DOA (spatial spectrum) information errors and indirectly affect the performance of anti-interference algorithms. Research on error correction technology can effectively reduce errors and control them within a certain range, reducing their impact on anti-interference algorithms. Therefore, array calibration technology is an important guarantee for the effective use of array anti-interference technology. However, the accuracy of array correction is affected by the correction method, implementation and use environment. The correction stability of the amplitude and phase correction method in the existing technology is low, which cannot meet the requirements that all system equipment can be best corrected and remain unchanged for a long time. In some scenarios, the robustness of the anti-interference algorithm and its sensitivity to array errors also have corresponding requirements. Summary of the invention

[0004] In order to solve the above technical problems, the present application provides a multi-channel consistency estimation and compensation method, device and storage medium.

[0005] The present application provides a multi-channel consistency estimation and compensation method, which includes: generating an antenna correction random sequence, modulating the antenna correction random sequence to obtain a pilot sequence; adding a cyclic prefix to the pilot sequence, subjecting the pilot sequence to which the cyclic prefix has been added to digital-to-analog conversion and a power divider to obtain a multi-channel signal; sending the multi-channel signal to a digital processing unit of a target array antenna to obtain a reading result of the target array antenna, wherein the reading result includes array element signals corresponding to a number of array elements of the target array antenna; estimating the phase difference and amplitude difference of the target array antenna based on the reading result, and determining a delay compensation value and an amplitude compensation value of each of the array elements; and performing multi-channel amplitude and phase compensation on the target array antenna based on the delay compensation value and the amplitude compensation value.

[0006] According to one embodiment of the present application, adding a cyclic prefix to the pilot sequence includes: obtaining tail data of a preset length of each pilot data in the pilot sequence; and adding the tail data of each pilot data to the location of the corresponding pilot data header.

[0007] According to one embodiment of the present application, obtaining the reading result of the target array antenna includes: obtaining the preliminary processing result of the digital processing unit; reading the preliminary processing result from a preset position of the cyclic prefix corresponding to the preliminary processing result to obtain the reading result.

[0008] According to one embodiment of the present application, the number of array element signals is equal to the number of array elements of the target array antenna, and the estimating the phase difference of the target array antenna based on the reading result includes: performing Fourier transform on each of the array element signals to obtain frequency domain data corresponding to each of the array element signals; performing Fourier transform and conjugate operation on the pilot sequence to obtain conjugate pilot data; conjugate multiplying the frequency domain data corresponding to each of the array element signals with the conjugate pilot data to obtain a channel estimation result corresponding to each of the array elements; and performing inverse Fourier transform on each of the channel estimation results to obtain a time domain estimation result of each of the array elements.

[0009] According to one embodiment of the present application, estimating the amplitude difference includes: performing a peak search on the time domain estimation results of each of the array elements, obtaining the maximum peak of each of the time domain estimation results, and determining the delay and amplitude corresponding to each of the time domain estimation results based on the maximum peak.

[0010] According to one embodiment of the present application, determining the delay compensation value and the amplitude compensation value of each array element includes: taking an array element of the target array antenna as a standard array element, defining the delay of the standard array element as a first preset value, and defining the amplitude as a second preset value; based on the first preset value and the second preset value, respectively calculating the delay compensation value and the amplitude compensation value of the remaining array elements in the target array antenna.

[0011] According to one embodiment of the present application, based on the first preset value and the second preset value, the delay compensation value and the amplitude compensation value of the remaining array elements in the target array antenna are respectively calculated, including: obtaining the time domain estimation result and the maximum amplitude of the current remaining array elements; calculating the difference between the delay of the current remaining array elements and the first preset value, and determining the delay compensation value of the current remaining array elements based on the difference; calculating the quotient of the second preset value and the amplitude of the current remaining array elements, and determining the amplitude compensation value of the current remaining array elements based on the quotient.

[0012] The present application also provides a multi-channel consistency estimation and compensation device, which includes: a modulation module, which is used to generate an antenna correction random sequence, modulate the antenna correction random sequence, and obtain a pilot sequence; an adding module, which is used to add a cyclic prefix to the pilot sequence, and subject the pilot sequence to which the cyclic prefix has been added to digital-to-analog conversion and a power divider to obtain a multi-channel signal; a reading module, which is used to send the multi-channel signal to a digital processing unit of a target array antenna, and obtain a reading result of the target array antenna, wherein the reading result includes array element signals corresponding to several array elements of the target array antenna; an estimation module, which is used to estimate the phase difference and amplitude difference of the target array antenna based on the reading result, and determine the delay compensation value and amplitude compensation value of each array element; a compensation module, which is used to perform multi-channel amplitude and phase compensation on the target array antenna based on the delay compensation value and the amplitude compensation value.

[0013] According to one embodiment of the present application, the estimation module is further used to: perform Fourier transform on each of the array element signals to obtain frequency domain data corresponding to each of the array element signals; perform Fourier transform and conjugate operation on the pilot sequence to obtain conjugate pilot data; conjugate multiply the frequency domain data corresponding to each of the array element signals with the conjugate pilot data to obtain a channel estimation result corresponding to each of the array elements; and perform inverse Fourier transform on each of the channel estimation results to obtain a time domain estimation result of each of the array elements.

[0014] The present application also provides a computer-readable storage medium having a computer program stored thereon, and when the computer program is executed by a processor, the steps of the method of the above-mentioned embodiment are implemented.

[0015] In the multi-channel consistency estimation and compensation method of the present application, by setting an antenna correction random sequence with excellent autocorrelation and cross-correlation, the correlation of multi-channel signals can be effectively ensured. By adding a cyclic prefix, problems such as the loss of positive frame data are effectively avoided. In addition, by aligning the signals of each array element to a unified delay and amplitude reference through multi-channel synchronous compensation, the impact of array errors on the performance of the anti-interference algorithm can be effectively reduced, and higher stability can also be achieved through software correction. In summary, the present application is more accurate in estimating the amplitude difference and phase difference between channels, the algorithm is simple, the real-time performance is high, and the stability is good. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the embodiments of the present application or related technologies, the drawings required for use in the embodiments of the present application or related technical descriptions will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0017] Figure 1 A diagram showing an application environment of a multi-channel consistency estimation and compensation method in one embodiment; Figure 2 A schematic diagram of a link correction process in one embodiment; Figure 3 A schematic diagram of a sequence generation process flow in one embodiment; Figure 4 A schematic diagram of a cyclic prefix CP structure of a sending sequence in one embodiment; Figure 5 A schematic diagram of a timing of data transmission and data reception in one embodiment; Figure 6 A schematic diagram of a multi-channel amplitude and phase correction process in one embodiment; Figure 7 It is a structural block diagram of a multi-channel consistency estimation and compensation device in one embodiment. DETAILED DESCRIPTION

[0018] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0019] Array signal processing refers to setting up an array composed of sensors at different positions to receive spatial signals, and extracting the signals received by the array and their characteristic information through specific signal processing, so as to further achieve the purpose of retaining the desired signal and suppressing interference and noise. According to the purpose of signal processing, array signal processing can be divided into two main contents: spatial spectrum estimation and digital beamforming. In modern society, with the advancement of theoretical knowledge and the improvement of hardware technology, array signal processing is widely used in many fields of national defense, military and national economy, such as phased array antennas and high-resolution direction finding systems in radars, beamforming and space division multiple access in mobile communications, passive direction finding of drone swarms, and adaptive decay technology in satellite navigation systems. In the application process, facing complex electromagnetic environments and unavoidable intentional or unintentional interference, the stability and anti-interference performance of the system become very critical. Therefore, anti-interference technology, as an important research content of array signal processing, has attracted the attention and research interest of many scholars. From the system level, anti-interference includes time domain filtering, frequency domain filtering and baseband filtering of single antenna anti-interference, etc.

[0020] The existence of array errors will directly affect or cause DOA (spatial spectrum) information errors and indirectly affect the performance of anti-interference algorithms. Research on error correction technology can effectively reduce errors and control them within a certain range, reducing their impact on anti-interference algorithms. Therefore, array calibration technology is an important guarantee for the effective use of array anti-interference technology. However, the array correction accuracy is affected by the correction method, implementation and use environment, and cannot meet the requirements that all system devices are best corrected and remain unchanged for a long time. In some scenarios, the robustness of anti-interference algorithms and their sensitivity to array errors also have corresponding requirements. Therefore, array anti-interference algorithms with better robustness can make up for the shortcomings of current correction technology. In summary, the study of array calibration technology is closely related to anti-interference technology. Algorithms with good correction effects can reduce the impact of array errors and are conducive to the performance of anti-interference algorithms. Anti-interference algorithms with better robustness can relax the requirements for correction accuracy and balance the resource issues of array calibration and other system functions, especially for small platforms. In summary, the study of array anti-interference algorithms with better robustness and array correction technology has important theoretical significance and practical value.

[0021] In one embodiment, Figure 1 As shown, a multi-channel consistency estimation and compensation method is provided. This embodiment uses the method applied to a terminal as an example for illustration. It can be understood that the method can also be applied to a server, and can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. In this embodiment, the method includes the following steps: Step 110, generating an antenna calibration random sequence, modulating the antenna calibration random sequence to obtain a pilot sequence; Step 120, adding a cyclic prefix to the pilot sequence, and subjecting the pilot sequence to which the cyclic prefix has been added to the pilot sequence to digital-to-analog conversion and a power divider to obtain a multi-channel signal; Step 130, sending the multi-channel signal to a digital processing unit of a target array antenna to obtain a reading result of the target array antenna, wherein the reading result includes array element signals corresponding to a plurality of array elements of the target array antenna; Step 140, estimating the phase difference and amplitude difference of the target array antenna based on the reading result, and determining the delay compensation value and amplitude compensation value of each array element; Step 150: Perform multi-channel amplitude and phase compensation on the target array antenna based on the delay compensation value and the amplitude compensation value.

[0022] Among them, see Figure 2, the antenna correction random sequence is a random sequence generated after the signal processing unit receives a correction instruction from software or hardware. Specifically, in an exemplary embodiment, the antenna correction random sequence can be generated by formula 1 : Formula 1: ; in, x Refers to the input parameters, refers to the first generating polynomial, refers to the second generating polynomial, , Used to generate pseudo-random sequences. Output antenna correction random sequence The process logic diagram can be found in Figure 3 , where the register is initialized to all 1s, Refers to the effective index of the sequence, the length is This embodiment performs phase and amplitude estimation and compensation based on the correlation between multiple channels, so the antenna correction random sequence It has excellent autocorrelation and cross-correlation.

[0023] Perform BPSK signal modulation (Binary Phase Shift Keying) on ​​the antenna correction random sequence to generate a pilot sequence, as shown in Formula 2, and obtain the modulated result : Formula 2: ; in Indicates remainder.

[0024] Add a cyclic prefix to the pilot sequence after modulation, such as Figure 4 As shown, add the tail data to the data header position.

[0025] In an exemplary embodiment, adding a cyclic prefix to the pilot sequence includes: acquiring tail data of a preset length of each pilot data in the pilot sequence; and adding the tail data of each pilot data to the location of the corresponding pilot data header.

[0026] Exemplarily, the preset length may be 1 / 4 of the pilot data length, that is, The main purpose of setting the pilot sequence is that due to the time difference between multi-channel data, if the original pilot sequence is sent directly, the collected received data may not contain the positive frame data. After adding the cyclic prefix, this problem will not exist.

[0027] The generated sequence including the cyclic prefix enters the power divider through the DA digital-to-analog conversion, is divided into multiple paths and enters the RF port of the array antenna, then passes through the RF link receiving channel of the array antenna, enters the AD analog-to-digital conversion unit, and finally reaches the digital processing unit. The signal received by the digital signal processing unit is .

[0028] In an exemplary embodiment, obtaining the reading result of the target array antenna includes: obtaining the preliminary processing result of the digital processing unit; reading the preliminary processing result from a preset position of the cyclic prefix corresponding to the preliminary processing result to obtain the reading result.

[0029] Specifically, the received data is read. Since the delay between sending and receiving is relatively small, and the present application reserves the time for the cyclic prefix, When the cyclic prefix is ​​read directly from the preset position, for example, the cyclic prefix can be read from 1 / 2. Figure 5 And formula 3 shows: Formula 3: ; in represents the number of array elements, Indicates the amplitude of the signal received by each array element, represents the phase received by each array element, represents the noise of each array element, j Represents an imaginary unit.

[0030] In an exemplary embodiment, the number of the array element signals is equal to the number of array elements of the target array antenna, and the estimating the phase difference of the target array antenna based on the reading result includes: performing Fourier transform on each of the array element signals to obtain frequency domain data corresponding to each of the array element signals; performing Fourier transform and conjugate operation on the pilot sequence to obtain conjugate pilot data; conjugate multiplying the frequency domain data corresponding to each of the array element signals with the conjugate pilot data to obtain a channel estimation result corresponding to each of the array elements; and performing inverse Fourier transform on each of the channel estimation results to obtain a time domain estimation result of each of the array elements.

[0031] Through the currently known sequence, the phase difference and amplitude difference of each channel can be measured. The specific processing flow is as follows: Figure 6 As shown in Formula 4, the received array element signal is subjected to a fast Fourier transform (FFT) operation to obtain its corresponding frequency domain data, Formula 4: ; in Represents the frequency domain data of each array element.

[0032] According to the pilot sequence , after FFT transformation, it is transformed into the frequency domain and conjugated to obtain formula 5: ; in represents the conjugate operation, represents the conjugate pilot data.

[0033] The pilot sequence and the conjugate pilot data are conjugated and multiplied, and a correlation operation is performed as shown in Formula 6 to obtain the channel estimation result, Formula 6: ; in, Represents the channel estimation result of each array element.

[0034] The channel estimation results are then subjected to inverse Fourier transform (IFFT) to obtain the time domain estimation results of each array element, see formula 7: ; Represents the time domain estimation result of each array element.

[0035] In an exemplary embodiment, estimating the amplitude difference includes: performing a peak search on the time domain estimation results of each of the array elements, obtaining the maximum peak of each of the time domain estimation results, and determining the delay and amplitude corresponding to each of the time domain estimation results based on the maximum peak.

[0036] After conjugate multiplication in the frequency domain, it can be considered as a constant, which is expressed as a step response, and then after inverse Fourier transform, it is expressed as an impulse response, and the difference in amplitude and phase can be expressed at the peak of the impulse response. Therefore, continue to search for the peak value of the time domain estimation result to find the maximum peak value. See formula 8: ; in Indicates the maximum value, Represents the modulus operation, represents the amplitude and delay of the first array element, represents the amplitude and delay of the second array element, and so on. Represents the amplitude and delay of the kth array element.

[0037] In an exemplary embodiment, the determining of the delay compensation value and the amplitude compensation value of each of the array elements includes: taking an array element of the target array antenna as a standard array element, defining the delay of the standard array element as a first preset value, and defining the amplitude as a second preset value; and calculating the delay compensation value and the amplitude compensation value of the remaining array elements in the target array antenna based on the first preset value and the second preset value, respectively. The remaining array elements refer to the array elements that have not been selected as standard array elements and for which the delay compensation value and the amplitude compensation value have not been calculated.

[0038] In an exemplary embodiment, based on the first preset value and the second preset value, the delay compensation value and the amplitude compensation value of the remaining array elements in the target array antenna are respectively calculated, including: obtaining the time domain estimation result and the maximum amplitude of the current remaining array elements; calculating the difference between the delay of the current remaining array elements and the first preset value, and determining the delay compensation value of the current remaining array elements based on the difference; calculating the quotient of the second preset value and the amplitude of the current remaining array elements, and determining the amplitude compensation value of the current remaining array elements based on the quotient.

[0039] Exemplarily, in this embodiment, the first array element is used as the standard array element, so the delay compensation of the first array element is and amplitude compensation They are respectively, formula 9: ; The second array element delay compensation value is and amplitude compensation value For, formula 10: ; The kth array element delay compensation value is and amplitude compensation value For, Formula 11: ; Finally, after the delay difference and amplitude difference estimation are completed, compensation is performed on the actually received array element signal. The compensation calculation is as follows, formula 12: .

[0040] in, Represents the noise of each array element after compensation.

[0041] In the above-mentioned multi-channel consistency estimation and compensation method, by setting an antenna correction random sequence with excellent autocorrelation and cross-correlation, the correlation of multi-channel signals can be effectively ensured. By adding a cyclic prefix, problems such as the loss of positive frame data are effectively avoided. In addition, by aligning the signals of each array element to a unified delay and amplitude reference through multi-channel synchronous compensation, the impact of array errors on the performance of the anti-interference algorithm can be effectively reduced, and higher stability can be achieved through software correction without relying on hardware performance. In summary, the present application is more accurate in estimating the amplitude difference and phase difference between channels, the algorithm is simple, the real-time performance is higher, and the stability is good.

[0042] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0043] Based on the same inventive concept, the embodiment of the present application also provides a multi-channel consistency estimation and compensation device for implementing the multi-channel consistency estimation and compensation method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more multi-channel consistency estimation and compensation device embodiments provided below can refer to the limitations of the multi-channel consistency estimation and compensation method above, and will not be repeated here.

[0044] In an exemplary embodiment, Figure 7 As shown, a multi-channel consistency estimation and compensation device is provided, including: a modulation module 710, an adding module 720, a reading module 730, an estimation module 740 and a compensation module 750, wherein: The modulation module 710 is used to generate a random sequence for antenna calibration, and modulate the random sequence for antenna calibration to obtain a pilot sequence; An adding module 720, configured to add a cyclic prefix to the pilot sequence, and subject the pilot sequence to which the cyclic prefix has been added to digital-to-analog conversion and a power divider to obtain a multi-channel signal; A reading module 730 is used to send the multi-channel signal to a digital processing unit of a target array antenna to obtain a reading result of the target array antenna, wherein the reading result includes array element signals corresponding to a plurality of array elements of the target array antenna; An estimation module 740 is used to estimate the phase difference and amplitude difference of the target array antenna based on the reading result, and determine the delay compensation value and amplitude compensation value of each array element; The compensation module 750 is used to perform multi-channel amplitude and phase compensation on the target array antenna based on the delay compensation value and the amplitude compensation value.

[0045] The adding module 720 is further used to: obtain tail data of a preset length of each pilot data in the pilot sequence; and add the tail data of each pilot data to the location of the corresponding pilot data header.

[0046] The reading module 730 is further used to: obtain the preliminary processing result of the digital processing unit; and read the preliminary processing result from a preset position of the cyclic prefix corresponding to the preliminary processing result to obtain the read result.

[0047] The estimation module 740 is further used to: perform Fourier transform on each of the array element signals to obtain frequency domain data corresponding to each of the array element signals; perform Fourier transform and conjugate operation on the pilot sequence to obtain conjugate pilot data; perform conjugate multiplication on the frequency domain data corresponding to each of the array element signals and the conjugate pilot data to obtain a channel estimation result corresponding to each of the array elements; and perform inverse Fourier transform on each of the channel estimation results to obtain a time domain estimation result of each of the array elements.

[0048] The estimation module 740 is further used to: perform peak search on the time domain estimation results of each of the array elements, obtain the maximum peak of each of the time domain estimation results, and determine the delay and amplitude corresponding to each of the time domain estimation results based on the maximum peak.

[0049] The estimation module 740 is also used to: take an array element of the target array antenna as a standard array element, define the delay of the standard array element as a first preset value, and define the amplitude as a second preset value; based on the first preset value and the second preset value, respectively calculate the delay compensation value and amplitude compensation value of the remaining array elements in the target array antenna.

[0050] The compensation module 750 is further used to: obtain the time domain estimation result and the maximum amplitude of the current remaining array elements; calculate the difference between the delay of the current remaining array elements and the first preset value, and determine the delay compensation value of the current remaining array elements based on the difference; calculate the quotient of the second preset value and the amplitude of the current remaining array elements, and determine the amplitude compensation value of the current remaining array elements based on the quotient.

[0051] Each module in the above-mentioned multi-channel consistency estimation and compensation device can be implemented in whole or in part by software, hardware and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute the operations corresponding to each of the above modules.

[0052] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0053] A person of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile memory and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetic random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, an artificial intelligence (AI) processor, etc., but are not limited to this.

[0054] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this application.

[0055] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A multi-channel consistency estimation and compensation method, characterized in that: The method comprises: Generate an antenna correction random sequence, modulate the antenna correction random sequence, and obtain a pilot sequence; Adding a cyclic prefix to the pilot sequence, and subjecting the pilot sequence to which the cyclic prefix has been added to digital-to-analog conversion and a power divider to obtain a multi-channel signal; Sending the multi-channel signal to a digital processing unit of a target array antenna to obtain a reading result of the target array antenna, wherein the reading result includes array element signals corresponding to a plurality of array elements of the target array antenna; Estimate the phase difference and amplitude difference of the target array antenna based on the reading result, and determine the delay compensation value and amplitude compensation value of each array element; Multi-channel amplitude and phase compensation is performed on the target array antenna based on the delay compensation value and the amplitude compensation value.

2. The method according to claim 1, characterized in that: The adding a cyclic prefix to the pilot sequence comprises: Acquire tail data of a preset length of each pilot data in the pilot sequence; The tail data of each pilot data is added to the location where the corresponding pilot data header is located.

3. The method according to claim 1, characterized in that The obtaining of the reading result of the target array antenna comprises: Obtaining preliminary processing results of the digital processing unit; The preliminary processing result is read from a preset position of the cyclic prefix corresponding to the preliminary processing result to obtain the read result.

4. The method according to claim 1, characterized in that: The number of the array element signals is equal to the number of array elements of the target array antenna, and the estimating the phase difference of the target array antenna based on the reading result includes: Performing Fourier transform on each of the array element signals to obtain frequency domain data corresponding to each of the array element signals; Performing Fourier transform and conjugate operation on the pilot sequence to obtain conjugate pilot data; Conjugate multiplying the frequency domain data corresponding to each of the array element signals with the conjugate pilot data to obtain a channel estimation result corresponding to each of the array elements; Perform inverse Fourier transform on each of the channel estimation results to obtain a time domain estimation result of each of the array elements.

5. The method according to claim 4, characterized in that The amplitude difference is estimated, comprising: A peak search is performed on the time domain estimation results of each of the array elements to obtain a maximum peak of each of the time domain estimation results, and a time delay and an amplitude corresponding to each of the time domain estimation results are determined based on the maximum peak.

6. The method according to claim 5, characterized in that The determining of the delay compensation value and the amplitude compensation value of each array element includes: Taking an array element of the target array antenna as a standard array element, defining the delay of the standard array element as a first preset value, and defining the amplitude as a second preset value; Based on the first preset value and the second preset value, the delay compensation value and the amplitude compensation value of the remaining array elements in the target array antenna are calculated respectively.

7. The method according to claim 6, characterized in that Based on the first preset value and the second preset value, respectively calculating the delay compensation value and the amplitude compensation value of the remaining array elements in the target array antenna, including: Obtain the time domain estimation result and maximum amplitude of the current remaining array elements; Calculating a difference between the delay of the current remaining array element and the first preset value, and determining a delay compensation value of the current remaining array element based on the difference; A quotient of the second preset value and the amplitude of the current remaining array elements is calculated, and an amplitude compensation value of the current remaining array elements is determined based on the quotient.

8. A multi-channel consistency estimation and compensation device, characterized in that: The device comprises: A modulation module, used for generating a random sequence for antenna correction, and modulating the random sequence for antenna correction to obtain a pilot sequence; An adding module, used for adding a cyclic prefix to the pilot sequence, and subjecting the pilot sequence to which the cyclic prefix has been added to digital-to-analog conversion and a power divider to obtain a multi-channel signal; A reading module, used to send the multi-channel signal to a digital processing unit of a target array antenna, and obtain a reading result of the target array antenna, wherein the reading result includes array element signals corresponding to a plurality of array elements of the target array antenna; An estimation module, used to estimate the phase difference and amplitude difference of the target array antenna based on the reading result, and determine the delay compensation value and amplitude compensation value of each array element; A compensation module is used to perform multi-channel amplitude and phase compensation on the target array antenna based on the delay compensation value and the amplitude compensation value.

9. The device according to claim 8, characterized in that The estimation module is further used for: Performing Fourier transform on each of the array element signals to obtain frequency domain data corresponding to each of the array element signals; Performing Fourier transform and conjugate operation on the pilot sequence to obtain conjugate pilot data; Conjugate multiplying the frequency domain data corresponding to each of the array element signals with the conjugate pilot data to obtain a channel estimation result corresponding to each of the array elements; Perform inverse Fourier transform on each of the channel estimation results to obtain a time domain estimation result of each of the array elements.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

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