Phased array antenna anti-interference method, device, equipment, medium and product

Abstract

The present application discloses a phased array antenna anti-interference method, device, equipment, medium and product, which relates to the field of wireless communication and radar technology. The method is executed by a signal processing device located in the phased array antenna anti-interference system, and after synchronously acquiring the meteorological parameter value and the demodulated signal sampling value of each channel, these values ​​are first imported into the pre-trained interference signal direction number estimation model based on the artificial intelligence algorithm, and the estimated number of interference signal directions is output, and then the complex weight vector and the signal vector are set based on the estimated number, and the calculation of the complex weight value is completed, and finally the calculated complex weight vector is transmitted to the addition module to complete the anti-interference processing of the phased array antenna. In this way, by dynamically adjusting the number of interference signals used for anti-interference processing according to the actual situation while considering the influence of climate factors, the anti-interference ability of the phased array antenna can be effectively improved, which is particularly suitable for Ka-band phased array antennas that are greatly affected by climate factors.

Description

Technical Field

[0001] The present invention belongs to the field of wireless communication and radar technology, and specifically relates to a phased array antenna anti-interference method, device, equipment, medium and product. Background Art

[0002] Phased array antenna is an array antenna system composed of multiple antenna units. Through the phase control capability of each antenna unit, the direction and shape of the radiation beam can be precisely controlled. Compared with the traditional mechanical rotating antenna, the phased array antenna has the advantages of fast scanning (that is, the beam pointing is controlled electronically instead of mechanically rotating the antenna, so the scanning speed is very fast), multi-target tracking (that is, it can form multiple beams at the same time, pointing to different targets respectively, to achieve tracking of multiple targets), high gain (that is, by reasonably controlling the phase and amplitude of each antenna unit, a high-gain beam can be formed in a specific direction, improving the system's anti-interference ability and detection distance) and high flexibility (that is, the beam pointing and shape can be changed through software programming to adapt to different application requirements). In the Ka band (which is part of the microwave band of the electromagnetic spectrum, with a frequency range of 26.5 to 40 GHz), the phased array antenna has higher gain and narrower beam width, so it is particularly suitable for applications that require high-precision pointing and high resolution, such as satellite communications and radar detection.

[0003] In the existing phased array antenna system, the commonly used anti-interference method is that the universal sidelobe canceller divides the received antenna array signal into upper and lower branch signals, wherein the upper branch signal is generated by a desired signal direction beam, and the lower branch signal has multiple channels, which are generated by a matrix orthogonal to the upper branch beam vector. Each of the multiple signals is multiplied by a complex weight value, and multiple new signals are generated by optimizing the multiple complex weight values. The multiple new signals are added and then inverted, and finally enter an adder together with the upper branch signal. After addition, the overall output signal after interference elimination is obtained. However, on the one hand, due to the unavoidable parameter errors in the circuit hardware in the actual system, including phase and amplitude, true orthogonality is difficult to achieve, and orthogonality is a very sensitive factor. A small deviation in orthogonality will cause a significant degradation in system performance. On the other hand, the calculation complexity of the complex weights is high, and the number of complex weights increases with the number of antennas. When the number of antennas is large, the optimization and calculation of numerous complex weights will greatly increase the calculation complexity of the system, occupy a large amount of software and hardware resources, and is not conducive to actual operation.

[0004] In response to the above problems, the prior art provides an anti-interference method and system for phased array antennas (CN114204284A), which can not only avoid the conventional orthogonality requirements and improve the performance and feasibility of the system in practical applications, but also reduce the number of complex weights and the computational complexity by comparison because the number of complex weights does not increase with the increase in the number of antennas, but is consistent with the number of interference signals. However, since the number of interference signals used for anti-interference processing in the aforementioned scheme is fixed, which is obviously inconsistent with the actual situation, it limits the improvement of anti-interference capability, and also does not consider the impact of climate factors on anti-interference capability. Therefore, it is not suitable for phased array antennas that are greatly affected by climate factors and whose working frequency band is Ka band (because of its large rain attenuation). Summary of the invention

[0005] The purpose of the present invention is to provide a phased array antenna anti-interference method, device, computer equipment, computer readable storage medium and computer program product to solve the problem that the existing phased array antenna anti-interference scheme is not suitable for Ka-band phased array antenna due to limited anti-interference ability and failure to consider the influence of climate factors.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] In a first aspect, a phased array antenna anti-interference method is provided, which is executed by a signal processing device located in a phased array antenna anti-interference system, wherein the phased array antenna anti-interference system also includes a meteorological parameter acquisition module, a phased array antenna array, a desired beam vector merging module, a plurality of interference beam vector merging modules, an inversion module, a first addition module and a second addition module, the output end of the meteorological parameter acquisition module is connected to the first input end of the signal processing device, the output ends of each antenna branch of the phased array antenna array are respectively connected to the second input end of the signal processing device, the input end of the desired beam vector merging module and the input end of each interference beam vector merging module in the plurality of interference beam vector merging modules, the output end of the desired beam vector merging module is respectively connected to the third input end of the signal processing device and the input end of the inversion module, the output ends of each interference beam vector merging module are respectively connected to the fourth input end of the signal processing device and the first input end of the first addition module, the output end of the signal processing device is connected to the second input end of the first addition module, and the output end of the inversion module and the output end of the first addition module are respectively connected to the two input ends of the second addition module in a one-to-one correspondence;

[0008] The phased array antenna anti-interference method comprises:

[0009] Synchronously acquiring the meteorological parameter value from the meteorological parameter acquisition module and the sampling value of each demodulated signal from the output end of each antenna branch, wherein the sampling value of each demodulated signal corresponds to each antenna branch output end one by one;

[0010] The meteorological parameter values ​​and the demodulated signal sampling values ​​of each channel are introduced into a pre-trained interference signal direction number estimation model based on an artificial intelligence algorithm, and the interference signal direction estimation number is output. ,in, Indicates less than or equal to A positive integer, A total number of modules representing the plurality of interference beam vector merging modules;

[0011] Receive a first signal from the desired beam vector merging module and each second signal from each interference beam vector merging module, wherein the first signal is obtained by the desired beam vector merging module using the desired beam vector to merge each demodulated signal from the output end of each antenna branch, each second signal corresponds to each interference beam vector merging module one by one, and the second signal is obtained by the corresponding interference beam vector merging module first performing interference beam fitting on each demodulated signal to generate an interference beam aligned with the direction of the corresponding interference signal, and then using the interference beam vector obtained based on the interference beam to merge each demodulated signal;

[0012] According to the interference signal direction estimation number ,set up dimensional complex weight vector ,in, Indicates less than or equal to A positive integer, Indicates the first one of the multiple interference beam vector merging modules The complex weights corresponding to the interference beam vector merging modules are Sometimes ;

[0013] According to the interference signal direction estimation number , extract from all the second signal The second signal constitutes a signal vector ,in, Indicates less than or equal to A positive integer, represents the first interference beam vector from the plurality of interference beam vector merging modules the second signal of an interference beam vector combining module;

[0014] The following formula is used to calculate the dimensional complex weight vector In dimensional complex weight subvector :

[0015]

[0016] In the formula, , Indicates that The complex weights corresponding to the interference beam vector merging modules, Represents the signal vector The autocorrelation matrix of Represents the first signal and the signal vector The cross-correlation vector of

[0017] The dimensional complex weight vector is transmitted to the first adding module so that the first adding module can calculate the value of dimensional complex weight vector All the second signals are added to obtain a third signal, and the third signal is transmitted to the second adding module, and then the second adding module adds the third signal and a fourth signal from the inversion module and obtained by the inversion module performing inversion processing on the first signal to obtain an anti-interference processed signal.

[0018] Based on the above invention content, a new solution for anti-interference processing of phased array antenna based on meteorological parameters and combined with artificial intelligence algorithm is provided, that is, it is executed by a signal processing device located in the anti-interference system of the phased array antenna, and after synchronously obtaining the meteorological parameter values ​​from the meteorological parameter acquisition module and the sampling values ​​of each demodulated signal from the output end of each antenna branch, these values ​​are first imported into a pre-trained interference signal direction number estimation model based on the artificial intelligence algorithm, and the estimated number of interference signal directions is output, and then the complex weight vector and the signal vector are set based on the estimated number, and the calculation of the complex weight value is completed, and finally the calculated complex weight vector is transmitted to the addition module to complete the anti-interference processing of the phased array antenna. In this way, by dynamically adjusting the number of interference signals used for anti-interference processing according to actual conditions while considering the influence of climate factors, the anti-interference capability of the phased array antenna can be effectively improved, and it is particularly suitable for Ka-band phased array antennas that are greatly affected by climate factors.

[0019] In one possible design, when the operating frequency band of the phased array antenna array is the Ka band, the meteorological parameter acquisition module includes an air humidity sensor and / or a rainfall sensor.

[0020] In a possible design, the interference signal direction number estimation model is pre-trained according to the following steps:

[0021] The sample data is obtained in the following manner: the meteorological parameter historical values ​​from the meteorological parameter acquisition module and the sampling historical values ​​of each demodulated signal from the output end of each antenna branch and concurrent with the meteorological parameter historical values ​​are used as model input items, and the total number of directions of interference signals in which interference signals are known to exist when the meteorological parameter historical values ​​are collected is used as a model output item, and then the model input item and the model output item are used as a sample data, wherein the sampling historical values ​​of each demodulated signal correspond to each antenna branch output end one by one;

[0022] All the sample data are used to perform model training on a machine learning model based on an artificial intelligence algorithm to obtain the interference signal direction number estimation model.

[0023] In one possible design, the artificial intelligence algorithm adopts a machine learning algorithm based on support vector machine, K nearest neighbor method, stochastic gradient descent method, multilayer perceptron, decision tree, back propagation neural network or radial basis function network.

[0024] In one possible design, the number of interference signal direction estimates is obtained at the output Afterwards, the method further comprises:

[0025] Taking the meteorological parameter value and the demodulated signal sampling values ​​of each channel as the first eigenvector;

[0026] Performing ANN vector retrieval on a vector library based on the first feature vector, wherein the vector library is pre-added with a plurality of second feature vectors, and the second feature vectors are composed of meteorological parameter historical values ​​from the meteorological parameter acquisition module and demodulated signal sampling historical values ​​from the output ends of each antenna branch and concurrent with the meteorological parameter historical values;

[0027] If any feature vector having the highest similarity with the first feature vector and the highest similarity exceeds a preset threshold is retrieved in the vector library, then the interference signal direction set pre-bound and stored with any feature vector is obtained. ,in, Indicates less than or equal to A positive integer, It indicates that when generating each demodulated signal corresponding to any one of the eigenvectors, it is known that there is an interference signal and the interference beam vector merging module is used to generate an interference beam for merging processing in the corresponding direction. Interference signal direction;

[0028] According to the interference signal direction set The plurality of interference beam vector merging modules are serially rearranged: the serial number of the first interference beam vector merging module is made smaller than the serial number of the second interference beam vector merging module, wherein the first interference beam vector merging module refers to a module in the plurality of interference beam vector merging modules for generating a signal aligned with the interference signal direction set. An interference beam vector merging module is used for merging the interference beam for processing any interference signal direction, and the second interference beam vector merging module refers to other interference beam vector merging modules among the multiple interference beam vector merging modules except all the first interference beam vector merging modules.

[0029] In a second aspect, a phased array antenna anti-interference device is provided, which is used to be arranged in a signal processing device of a phased array antenna anti-interference system, wherein the phased array antenna anti-interference system also includes a meteorological parameter acquisition module, a phased array antenna array, a desired beam vector merging module, a plurality of interference beam vector merging modules, an inversion module, a first addition module and a second addition module, the output end of the meteorological parameter acquisition module is connected to the first input end of the signal processing device, the output ends of each antenna branch of the phased array antenna array are respectively connected to the second input end of the signal processing device, the input end of the desired beam vector merging module and the input end of each interference beam vector merging module in the plurality of interference beam vector merging modules, the output end of the desired beam vector merging module is respectively connected to the third input end of the signal processing device and the input end of the inversion module, the output ends of each interference beam vector merging module are respectively connected to the fourth input end of the signal processing device and the first input end of the first addition module, the output end of the signal processing device is connected to the second input end of the first addition module, and the output end of the inversion module and the output end of the first addition module are respectively connected to the two input ends of the second addition module in a one-to-one correspondence;

[0030] The phased array antenna anti-interference device comprises a sampling value acquisition unit, a direction number estimation unit, a combined signal receiving unit, a complex weight vector setting unit, a signal vector composition unit, a complex weight value calculation unit and a complex weight vector sending unit;

[0031] The sampling value acquisition unit is used to synchronously acquire the meteorological parameter value from the meteorological parameter acquisition module and the sampling value of each demodulated signal from the output end of each antenna branch, wherein the sampling value of each demodulated signal corresponds to each antenna branch output end one by one;

[0032] The direction number estimation unit is communicatively connected to the sampling value acquisition unit, and is used to import the meteorological parameter value and the sampling value of each demodulated signal into the interference signal direction number estimation model pre-trained based on the artificial intelligence algorithm, and output the interference signal direction estimation number. ,in, Indicates less than or equal to A positive integer, A total number of modules representing the plurality of interference beam vector merging modules;

[0033] The combined signal receiving unit is used to receive a first signal from the desired beam vector combining module and each second signal from each interference beam vector combining module, wherein the first signal is obtained by the desired beam vector combining module using the desired beam vector to combine each demodulated signal from the output end of each antenna branch, each second signal corresponds to each interference beam vector combining module one by one, and the second signal is obtained by first performing interference beam fitting on each demodulated signal by the corresponding interference beam vector combining module to generate an interference beam aligned with the direction of the corresponding interference signal, and then combining each demodulated signal using the interference beam vector obtained based on the interference beam;

[0034] The complex weight vector setting unit is communicatively connected to the direction number estimation unit, and is used to estimate the number of interference signal directions. ,set up dimensional complex weight vector ,in, Indicates less than or equal to A positive integer, Indicates the first one of the multiple interference beam vector merging modules The complex weights corresponding to the interference beam vector merging modules are Sometimes ;

[0035] The signal vector composition unit is respectively connected to the direction number estimation unit and the combined signal receiving unit for estimating the number of interference signals according to the direction of the interference signal. , extract from all the second signal The second signal constitutes a signal vector ,in, Indicates less than or equal to A positive integer, represents the first interference beam vector from the plurality of interference beam vector merging modules the second signal of an interference beam vector combining module;

[0036] The complex weight value calculation unit is respectively connected to the combined signal receiving unit, the complex weight value vector setting unit and the signal vector composition unit for calculating the complex weight value according to the following formula: dimensional complex weight vector In dimensional complex weight subvector :

[0037]

[0038] In the formula, , Indicates that The complex weights corresponding to the interference beam vector merging modules, Represents the signal vector The autocorrelation matrix of Represents the first signal and the signal vector The cross-correlation vector of

[0039] The complex weight vector sending unit is communicatively connected to the complex weight calculation unit, and is used to send the dimensional complex weight vector is transmitted to the first adding module so that the first adding module can calculate the value of dimensional complex weight vector All the second signals are added to obtain a third signal, and the third signal is transmitted to the second adding module, and then the second adding module adds the third signal and a fourth signal from the inversion module and obtained by the inversion module performing inversion processing on the first signal to obtain an anti-interference processed signal.

[0040] In a possible design, the phased array antenna anti-interference device further includes a feature vector determination unit, an ANN vector retrieval unit, a direction set acquisition unit, and a module sequence number rearrangement unit;

[0041] The feature vector determination unit is respectively connected to the sampling value acquisition unit and the direction number estimation unit for outputting an estimated number of interference signal directions. Afterwards, the meteorological parameter value and the demodulated signal sampling values ​​of each channel are used as the first feature vector;

[0042] The ANN vector retrieval unit is communicatively connected to the feature vector determination unit, and is used to perform an ANN vector retrieval on a vector library based on the first feature vector, wherein the vector library is pre-added with a plurality of second feature vectors, and the second feature vectors are composed of meteorological parameter historical values ​​from the meteorological parameter acquisition module and demodulated signal sampling historical values ​​of each channel from the output end of each antenna branch and concurrent with the meteorological parameter historical values;

[0043] The direction set acquisition unit is communicatively connected to the ANN vector retrieval unit, and is used to acquire the interference signal direction set pre-bound and stored with any feature vector if any feature vector having the highest similarity with the first feature vector and the highest similarity exceeds a preset threshold is retrieved in the vector library. ,in, Indicates less than or equal to A positive integer, It indicates that when generating each demodulated signal corresponding to any one of the eigenvectors, it is known that there is an interference signal and the interference beam vector merging module is used to generate an interference beam for merging processing in the corresponding direction. Interference signal direction;

[0044] The module sequence number rearrangement unit is respectively connected to the direction set acquisition unit, the combined signal receiving unit, the complex weight value vector setting unit and the signal vector composition unit for transmitting the signal according to the interference signal direction set. The plurality of interference beam vector merging modules are serially rearranged: the serial number of the first interference beam vector merging module is made smaller than the serial number of the second interference beam vector merging module, wherein the first interference beam vector merging module refers to a module in the plurality of interference beam vector merging modules for generating a signal aligned with the interference signal direction set. An interference beam vector merging module is used for merging the interference beam for processing any interference signal direction, and the second interference beam vector merging module refers to other interference beam vector merging modules among the multiple interference beam vector merging modules except all the first interference beam vector merging modules.

[0045] In a third aspect, the present invention provides a signal processing device, comprising a memory, a processor and a transceiver which are communicatively connected in sequence, wherein the memory is used to store a computer program, the transceiver is used to send and receive messages, and the processor is used to read the computer program to execute the phased array antenna anti-interference method as described in the first aspect or any possible design of the first aspect.

[0046] In a fourth aspect, the present invention provides a computer-readable storage medium having instructions stored thereon. When the instructions are executed on a computer, the phased array antenna anti-interference method as described in the first aspect or any possible design of the first aspect is executed.

[0047] In a fifth aspect, the present invention provides a computer program product, comprising a computer program or instructions, which, when executed by a computer, implements the phased array antenna anti-interference method as described in the first aspect or any possible design of the first aspect.

[0048] Beneficial effects of the above scheme:

[0049] (1) The present invention provides a new scheme for anti-interference processing of phased array antennas based on meteorological parameters and combined with artificial intelligence algorithms, that is, the scheme is executed by a signal processing device located in the anti-interference system of the phased array antenna, and after synchronously acquiring meteorological parameter values ​​from a meteorological parameter acquisition module and demodulated signal sampling values ​​from the output ends of each antenna branch, these values ​​are firstly imported into a pre-trained interference signal direction number estimation model based on an artificial intelligence algorithm, and the estimated number of interference signal directions is outputted, and then a complex weight vector and a signal vector are set based on the estimated number, and the complex weight value is calculated, and finally the calculated complex weight vector is transmitted to an addition module to complete the anti-interference processing of the phased array antenna. In this way, by dynamically adjusting the number of interference signals used for anti-interference processing according to actual conditions while considering the influence of climate factors, the anti-interference capability of the phased array antenna can be effectively improved, and the scheme is particularly suitable for Ka-band phased array antennas that are greatly affected by climate factors;

[0050] (2) The interference signal direction can be further accurately located and applied based on the estimated number of interference signal directions, so that the interference signal used for anti-interference processing is more consistent with the actual historical situation, further effectively improving the anti-interference capability of the phased array antenna, and facilitating practical application and promotion. BRIEF DESCRIPTION OF THE DRAWINGS

[0051] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0052] Figure 1 A schematic diagram of a flow chart of a phased array antenna anti-interference method provided in an embodiment of the present application.

[0053] Figure 2A schematic diagram of the structure of a phased array antenna anti-interference system provided in an embodiment of the present application.

[0054] Figure 3 A schematic diagram of the structure of a phased array antenna anti-interference device provided in an embodiment of the present application.

[0055] Figure 4 A schematic diagram of the structure of a signal processing device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0056] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the present invention will be briefly introduced below in combination with the drawings and the description of the embodiments or the prior art. Obviously, the following description of the structures of the drawings is only some embodiments of the present invention. For ordinary technicians in this field, other embodiments can be obtained based on these embodiments without creative work. It should be noted that the description of these embodiments is used to help understand the present invention, but does not constitute a limitation of the present invention.

[0057] It should be understood that although the terms first and second, etc. may be used herein to describe various objects, these objects should not be limited by these terms. These terms are only used to distinguish one object from another object. For example, a first object can be referred to as a second object, and similarly, a second object can be referred to as a first object without departing from the scope of the exemplary embodiments of the present invention.

[0058] It should be understood that the term "and / or" that may appear in this document is merely a description of the association relationship between associated objects, indicating that there may be three relationships. For example, A and / or B can indicate three situations: A exists alone, B exists alone, or A and B exist at the same time. For another example, A, B and / or C can indicate the existence of any one of A, B and C or any combination of them. The term " / and" that may appear in this document describes another type of association object relationship, indicating that there may be two relationships. For example, A / and B can indicate two situations: A exists alone or A and B exist at the same time. In addition, the character " / " that may appear in this document generally indicates that the previous and next associated objects are in an "or" relationship.

[0059] Example

[0060] like Figure 1 As shown, the phased array antenna anti-interference method provided in the first aspect of this embodiment can be, but is not limited to, executed by a signal processing device having certain computing resources and located in a phased array antenna anti-interference system, wherein, Figure 2As shown, the phased array antenna anti-interference system also includes but is not limited to a meteorological parameter acquisition module, a phased array antenna array, a desired beam vector merging module, a plurality of interference beam vector merging modules, an inversion module, a first addition module, a second addition module, etc. The output end of the meteorological parameter acquisition module is connected to the first input end of the signal processing device, and the output ends of each antenna branch of the phased array antenna array are respectively connected to the second input end of the signal processing device, the input end of the desired beam vector merging module and the input end of each interference beam vector merging module in the plurality of interference beam vector merging modules. The output end of the desired beam vector merging module is respectively connected to the third input end of the signal processing device and the input end of the inversion module, and the output end of each interference beam vector merging module is respectively connected to the fourth input end of the signal processing device and the first input end of the first addition module, and the output end of the signal processing device is connected to the second input end of the first addition module, and the output end of the inversion module and the output end of the first addition module are respectively connected to the two input ends of the second addition module in a one-to-one correspondence.

[0061] The meteorological parameter acquisition module is used to collect meteorological parameter values ​​in real time and transmit the collected results to the signal processing device in real time. Specifically, the meteorological parameter values ​​include but are not limited to air humidity values, rainfall values, air temperature values ​​and / or PM2.5 detection values. In particular, when the operating frequency band of the phased array antenna array is the Ka band, the meteorological parameter acquisition module includes but is not limited to an air humidity sensor and / or a rainfall sensor, so that the air humidity value can be collected in real time using the air humidity sensor, and the rainfall value can be collected in real time using the rainfall sensor.

[0062] The phased array antenna array is used to receive wireless signals in real time and output each demodulated signal corresponding to each antenna branch output end through each antenna branch output end, and then transmit each demodulated signal in real time to the signal processing device, the beam vector merging module and each interference beam vector merging module. Specifically, the operating frequency band of the phased array antenna array can be but is not limited to the Ka band.

[0063] The desired beam vector merging module is used to combine the demodulated signals from the output ends of the antenna branches in real time using the desired beam vector to obtain the first signal (i.e. Figure 2 In ), and then transmit the first signal to the signal processing device and the inversion module in real time. The specific process of the above-mentioned merging process is prior art and will not be repeated here.

[0064] The interference beam vector merging module is used to perform interference beam fitting on each demodulated signal from each antenna branch output end in real time to generate an interference beam aligned with the direction of the corresponding interference signal, and use the interference beam vector obtained based on the interference beam to merge the demodulated signals to obtain a second signal (i.e. Figure 2 In or ), and then transmit the second signal to the signal processing device and the first addition module in real time. The specific process of the above-mentioned fitting and merging processing is the prior art and will not be repeated here.

[0065] The inversion module is used to perform inversion processing on the first signal in real time to obtain a fourth signal (i.e. Figure 2 In ), and transmit the fourth signal to the second adding module in real time. The specific process of the aforementioned inversion processing is prior art and will not be described in detail here.

[0066] The first adding module is used to calculate the weighted values ​​(i.e. Figure 2 In or ), all the second signals are added together in real time to obtain a third signal (i.e. Figure 2 In ), and transmit the third signal to the second adding module in real time. The specific process of the aforementioned addition processing is prior art and will not be repeated here.

[0067] The second adding module is used to perform addition processing on the third signal and the fourth signal in real time to obtain an anti-interference processed signal (i.e. Figure 2 In ). The specific process of the aforementioned addition processing is prior art and will not be described in detail here.

[0068] like Figure 1 As shown, the phased array antenna anti-interference method includes but is not limited to the following steps S1 to S7.

[0069] S1. Synchronously obtain the meteorological parameter values ​​from the meteorological parameter acquisition module and the sampling values ​​of each demodulated signal from the output end of each antenna branch, wherein the sampling values ​​of each demodulated signal correspond to each antenna branch output end one by one.

[0070] In step S1, the meteorological parameter values ​​include but are not limited to air humidity values, rainfall values, air temperature values ​​and / or PM2.5 detection values. The sampling values ​​of each demodulated signal are sampling values ​​obtained by conventionally sampling each demodulated signal corresponding to each antenna branch output end, which can be a time domain sampling value or a frequency domain sampling value. In addition, the purpose of synchronous acquisition is to ensure that the meteorological parameter values ​​are synchronous with the sampling values ​​of each demodulated signal (that is, all values ​​are in the same unit period).

[0071] S2. Import the meteorological parameter value and the demodulated signal sampling value of each channel into the interference signal direction number estimation model pre-trained based on the artificial intelligence algorithm, and output the interference signal direction estimation number ,in, Indicates less than or equal to A positive integer, Represents the total number of modules of the multiple interference beam vector merging modules.

[0072] In step S2, since the demodulated signal sampling values ​​of each path are the signal reception results under the meteorological conditions corresponding to the meteorological parameter values ​​and under the influence of at least one interference signal (which comes from at least one interference signal direction and corresponds one-to-one with the at least one interference signal direction), the total number of interference signal directions where interference signals exist can be inferred by applying the interference signal direction number estimation model based on the meteorological parameter values ​​and the demodulated signal sampling values ​​of each path. Since each interference beam vector merging module in the multiple interference beam vector merging modules corresponds to an independent interference signal direction, the interference signal direction estimation model is required. The total number of modules less than or equal to the number of interference beam vector merging modules , so that the optimization calculation of the complex weight value can be effectively performed later. Specifically, the interference signal direction number estimation model can be obtained by pre-training according to the following steps S201 to S202, but is not limited to it.

[0073] S201. Obtain sample data in the following manner: use the meteorological parameter historical values ​​from the meteorological parameter acquisition module and the demodulated signal sampling historical values ​​from the output ends of the respective antenna branches and concurrent with the meteorological parameter historical values ​​as model input items, and also use the total number of interference signal directions in which interference signals are known to exist when the meteorological parameter historical values ​​are collected as model output items, and then use the model input items and the model output items as a sample data, wherein the demodulated signal sampling historical values ​​correspond one-to-one to the output ends of the respective antenna branches.

[0074] In step S201, the meteorological parameter historical values ​​include but are not limited to air humidity historical values, rainfall historical values, air temperature historical values ​​and / or PM2.5 detection historical values, etc. The sampling historical values ​​of each demodulated signal are sampling values ​​obtained by conventionally sampling each demodulated historical signal corresponding to each antenna branch output end, and can also be time domain sampling values ​​or frequency domain sampling values ​​(but need to be consistent with the sampling values ​​of each demodulated signal). For example, the meteorological parameter historical values ​​obtained at 12:00 and the sampling historical values ​​of each demodulated signal can be used as model input items, and if it is known that there are interference signals in interference signal direction A, interference signal direction B, interference signal direction C and interference signal direction D at 12:00, then the value four can be used as the model output item, and then a sample data corresponding to 12:00 is obtained.

[0075] S202. Apply all the sample data to perform model training on a machine learning model based on an artificial intelligence algorithm to obtain the interference signal direction number estimation model.

[0076] In step S202, the artificial intelligence algorithm is a core artificial intelligence algorithm that specifically studies how computers simulate or implement human learning behavior to acquire new knowledge or skills, reorganize existing knowledge structures to continuously improve their own performance, and is the fundamental way to make computers intelligent; specifically, the artificial intelligence algorithm preferably, but not limited to, adopts a machine learning algorithm based on support vector machine, K nearest neighbor method, stochastic gradient descent method, multilayer perceptron, decision tree, back propagation neural network or radial basis function network, etc., so as to quickly and accurately find the law in the data. Based on a certain amount of sample data, the conventional calibration verification modeling method (the specific process includes the calibration process and the verification process of the model, that is, first by comparing the model simulation results with the measured data, and then adjusting the model parameters according to the comparison results, so that the simulation results are consistent with the actual process) can be used to train and obtain the interference signal direction number estimation model that has been verified. In addition, in the calibration verification modeling process of the interference signal direction number estimation model, the model parameters can be tuned by a tree-structured Bayesian optimization algorithm.

[0077] S3. Receive a first signal from the desired beam vector merging module and respective second signals from the respective interference beam vector merging modules, wherein the first signal is obtained by the desired beam vector merging module using the desired beam vector to merge the respective demodulated signals from the output ends of the respective antenna branches, the respective second signals correspond one-to-one to the respective interference beam vector merging modules, and the second signal is obtained by the corresponding interference beam vector merging module first performing interference beam fitting on the respective demodulated signals to generate an interference beam aligned with the direction of the corresponding interference signal, and then using the interference beam vector obtained based on the interference beam to merge the respective demodulated signals.

[0078] In step S3, the specific processes of the merging process and the fitting process are all prior art and will not be described in detail herein.

[0079] S4. Estimating the number of interference signals according to their direction ,set up dimensional complex weight vector ,in, Indicates less than or equal to A positive integer, Indicates the first one of the multiple interference beam vector merging modules The complex weights corresponding to the interference beam vector merging modules are Sometimes .

[0080] In step S4, the dimensional complex weight vector For transmitting to the first adding module to perform addition processing on all the second signals. Since it is estimated that the total number of directions of the interference signal directions where the interference signal currently exists is , and only the direction corresponding to these interference signals is needed The interference beam vector merging module participates in the aforementioned addition process, so it is necessary to have Sometimes .

[0081] S5. Estimating the number of interference signals according to their direction , extract from all the second signal The second signal constitutes a signal vector ,in, Indicates less than or equal to A positive integer, represents the first interference beam vector from the plurality of interference beam vector merging modules The second signal of the interference beam vector merging module.

[0082] S6. Calculate the following formula to obtain dimensional complex weight vector In dimensional complex weight subvector :

[0083]

[0084] In the formula, , Indicates that The complex weights corresponding to the interference beam vector merging modules, Represents the signal vector The autocorrelation matrix of Represents the first signal and the signal vector The cross-correlation vector of .

[0085] In step S6, the specific calculation method of the autocorrelation matrix and the cross-correlation vector is an existing algorithm, which will not be described in detail here. Sometimes , so these complex weights do not need to participate in the above calculations.

[0086] S7. dimensional complex weight vector is transmitted to the first adding module so that the first adding module can calculate the value of dimensional complex weight vector All the second signals are added to obtain a third signal, and the third signal is transmitted to the second adding module, and then the second adding module adds the third signal and a fourth signal from the inversion module and obtained by the inversion module performing inversion processing on the first signal to obtain an anti-interference processed signal.

[0087] Therefore, based on the anti-interference method of the phased array antenna described in the aforementioned steps S1 to S7, a new solution for anti-interference processing of the phased array antenna based on meteorological parameters and combined with an artificial intelligence algorithm is provided, that is, it is executed by a signal processing device located in the anti-interference system of the phased array antenna, and after synchronously obtaining the meteorological parameter values ​​from the meteorological parameter acquisition module and the sampling values ​​of the demodulated signals from the output ends of each antenna branch, these values ​​are first imported into a pre-trained interference signal direction number estimation model based on the artificial intelligence algorithm, and the estimated number of interference signal directions is output, and then the complex weight vector and the signal vector are set based on the estimated number, and the calculation of the complex weight value is completed, and finally the calculated complex weight vector is transmitted to the addition module to complete the anti-interference processing of the phased array antenna. In this way, by dynamically adjusting the number of interference signals used for anti-interference processing according to actual conditions while considering the influence of climate factors, the anti-interference capability of the phased array antenna can be effectively improved, which is particularly suitable for Ka-band phased array antennas that are greatly affected by climate factors, and is convenient for practical application and promotion.

[0088] Based on the technical solution of the first aspect, this embodiment also provides a possible design of how to further accurately locate the interference signal direction based on the interference signal direction estimation number and apply it, that is, after outputting the interference signal direction estimation number, Afterwards, the method further includes but is not limited to the following steps S211 to S214.

[0089] S211. Use the meteorological parameter value and the demodulated signal sampling values ​​of each channel as the first eigenvector.

[0090] S212. Perform ANN vector retrieval on the vector library based on the first feature vector, wherein the vector library is pre-added with multiple second feature vectors, and the second feature vectors are composed of historical values ​​of meteorological parameters from the meteorological parameter acquisition module and historical values ​​of demodulated signal samples from the output ends of each antenna branch and concurrent with the historical values ​​of meteorological parameters.

[0091] In step S212, the ANN (Approximate Nearest Neighbor) vector retrieval is an existing technology for processing similarity search in large-scale data sets, which is mainly used to quickly find data items similar to the query object in large data sets; this technology has applications in many fields, including vector databases, retrieval enhancement generation, large-scale information retrieval, recommendation systems, drug discovery, and image search. The core of ANN vector retrieval is to use efficient indexing and search algorithms to approximately find the nearest neighbors in the data set (note that it is not accurate to find the nearest neighbors). This approximate method allows a certain error while ensuring search efficiency, thereby significantly improving the search speed when processing large-scale data sets. In general, ANN vector retrieval technology can significantly improve the efficiency of similarity search in large-scale data sets while ensuring that the retrieval results have a certain degree of accuracy by using efficient indexing and search algorithms, as well as specific graph methods such as HNSW (Hierarchical Navigable Small World Graph, which is a graph method for vector retrieval. It is based on the idea of ​​skip lists and achieves efficient approximate nearest neighbor search by constructing a navigable small world graph. It organizes data by using a navigable small world graph at each layer to form a hierarchical structure, so that the retrieval process can gradually approach the target vector space from top to bottom, thereby improving the search efficiency. In the process of graph composition, HNSW can ensure the connectivity of the graph by cutting edges to ensure the smooth progress of the search process). Therefore, by performing ANN vector retrieval on the vector library based on the first feature vector, the retrieval result can be obtained accurately and efficiently.

[0092] S213. If any feature vector having the highest similarity with the first feature vector and the highest similarity exceeding a preset threshold is retrieved in the vector library, then the interference signal direction set pre-bound and stored with any feature vector is obtained. ,in, Indicates less than or equal to A positive integer, It indicates that when generating each demodulated signal corresponding to any one of the eigenvectors, it is known that there is an interference signal and the interference beam vector merging module is used to generate an interference beam for merging processing in the corresponding direction. interference signal direction.

[0093] In the step S213, for example, if the time for generating each demodulated signal corresponding to any of the eigenvectors is 13:00, and it is known that there are interference signals in interference signal direction A, interference signal direction B and interference signal direction D at 13:00, then the interference signal direction set will include interference signal direction A, interference signal direction B and interference signal direction D, wherein the interference signal direction A is used for the interference beam vector merging module A to generate an interference beam for merging processing in the corresponding direction (that is, the interference beam for merging processing includes an interference beam aimed at the interference signal direction A), the interference signal direction B is used for the interference beam vector merging module B to generate an interference beam for merging processing in the corresponding direction (that is, the interference beam for merging processing includes an interference beam aimed at the interference signal direction B), and the interference signal direction D is used for the interference beam vector merging module D to generate an interference beam for merging processing in the corresponding direction (that is, the interference beam for merging processing includes an interference beam aimed at the interference signal direction D).

[0094] S214. According to the interference signal direction set The plurality of interference beam vector merging modules are serially rearranged: the serial number of the first interference beam vector merging module is made smaller than the serial number of the second interference beam vector merging module, wherein the first interference beam vector merging module refers to a module in the plurality of interference beam vector merging modules for generating a signal aligned with the interference signal direction set. An interference beam vector merging module is used for merging the interference beam for processing any interference signal direction, and the second interference beam vector merging module refers to other interference beam vector merging modules among the multiple interference beam vector merging modules except all the first interference beam vector merging modules.

[0095] In the step S214, the example in the aforementioned step S213 is continued to be used. If the multiple interference beam vector merging modules include an interference beam vector merging module A, an interference beam vector merging module B, an interference beam vector merging module C, an interference beam vector merging module D and an interference beam vector merging module E, then the interference beam vector merging module A, the interference beam vector merging module B and the interference beam vector merging module D are respectively the first interference beam vector merging modules, and the interference beam vector merging module C and the interference beam vector merging module E are respectively the second interference beam vector merging modules, and then the multiple interference beam vector merging modules can be rearranged in sequence as follows: interference beam vector merging module A, interference beam vector merging module B, interference beam vector merging module D, interference beam vector merging module C and interference beam vector merging module E, so that the aforementioned step S4 can be used to make the complex weights corresponding to the interference beam vector merging module C and the interference beam vector merging module E respectively zero, and the aforementioned step S5 can be used to make the signal vector The second signal includes the signals respectively coming from the interference beam vector merging module A, the interference beam vector merging module B and the interference beam vector merging module D, and then the complex weight values ​​respectively corresponding to the interference beam vector merging module A, the interference beam vector merging module B and the interference beam vector merging module D can be calculated through the aforementioned step S6, so that the interference signal used for anti-interference processing further conforms to the actual historical situation, thereby further effectively improving the anti-interference capability of the phased array antenna.

[0096] Therefore, based on the aforementioned possible design one, the direction of the interference signal can be further accurately located and applied based on the estimated number of interference signal directions, so that the interference signal used for anti-interference processing is further consistent with the actual historical situation, and the anti-interference capability of the phased array antenna is further effectively improved.

[0097] like Figure 3As shown, the second aspect of this embodiment provides a virtual device for implementing the phased array antenna anti-interference method described in the first aspect or any possible design of the first aspect, which is used to be arranged in a signal processing device of a phased array antenna anti-interference system, wherein the phased array antenna anti-interference system also includes a meteorological parameter acquisition module, a phased array antenna array, a desired beam vector merging module, multiple interference beam vector merging modules, an inversion module, a first addition module and a second addition module, the output end of the meteorological parameter acquisition module is connected to the first input end of the signal processing device, and the output ends of each antenna branch of the phased array antenna array are respectively connected to the second input end of the signal processing device. , an input end of the desired beam vector merging module and an input end of each interference beam vector merging module in the multiple interference beam vector merging modules, the output end of the desired beam vector merging module is respectively connected to the third input end of the signal processing device and the input end of the inversion module, the output end of each interference beam vector merging module is respectively connected to the fourth input end of the signal processing device and the first input end of the first adding module, the output end of the signal processing device is connected to the second input end of the first adding module, and the output end of the inversion module and the output end of the first adding module are respectively connected to the two input ends of the second adding module in a one-to-one correspondence;

[0098] The virtual device includes a sampling value acquisition unit, a direction number estimation unit, a combined signal receiving unit, a complex weight vector setting unit, a signal vector composition unit, a complex weight value calculation unit and a complex weight vector sending unit;

[0099] The sampling value acquisition unit is used to synchronously acquire the meteorological parameter value from the meteorological parameter acquisition module and the sampling value of each demodulated signal from the output end of each antenna branch, wherein the sampling value of each demodulated signal corresponds to each antenna branch output end one by one;

[0100] The direction number estimation unit is communicatively connected to the sampling value acquisition unit, and is used to import the meteorological parameter value and the sampling value of each demodulated signal into the interference signal direction number estimation model pre-trained based on the artificial intelligence algorithm, and output the interference signal direction estimation number. ,in, Indicates less than or equal to A positive integer, A total number of modules representing the plurality of interference beam vector merging modules;

[0101] The combined signal receiving unit is used to receive a first signal from the desired beam vector combining module and each second signal from each interference beam vector combining module, wherein the first signal is obtained by the desired beam vector combining module using the desired beam vector to combine each demodulated signal from the output end of each antenna branch, each second signal corresponds to each interference beam vector combining module one by one, and the second signal is obtained by first performing interference beam fitting on each demodulated signal by the corresponding interference beam vector combining module to generate an interference beam aligned with the direction of the corresponding interference signal, and then combining each demodulated signal using the interference beam vector obtained based on the interference beam;

[0102] The complex weight vector setting unit is communicatively connected to the direction number estimation unit, and is used to estimate the number of interference signal directions. ,set up dimensional complex weight vector ,in, Indicates less than or equal to A positive integer, Indicates the first one of the multiple interference beam vector merging modules The complex weights corresponding to the interference beam vector merging modules are Sometimes ;

[0103] The signal vector composition unit is respectively connected to the direction number estimation unit and the combined signal receiving unit for estimating the number of interference signals according to the direction of the interference signal. , extract from all the second signal The second signal constitutes a signal vector ,in, Indicates less than or equal to A positive integer, represents the first interference beam vector from the plurality of interference beam vector merging modules the second signal of an interference beam vector combining module;

[0104] The complex weight value calculation unit is respectively connected to the combined signal receiving unit, the complex weight value vector setting unit and the signal vector composition unit for calculating the complex weight value according to the following formula: dimensional complex weight vector In dimensional complex weight subvector :

[0105]

[0106] In the formula, , Indicates that The complex weights corresponding to the interference beam vector merging modules, Represents the signal vector The autocorrelation matrix of Represents the first signal and the signal vector The cross-correlation vector of

[0107] The complex weight vector sending unit is communicatively connected to the complex weight calculation unit, and is used to send the dimensional complex weight vector is transmitted to the first adding module so that the first adding module can calculate the value of dimensional complex weight vector All the second signals are added to obtain a third signal, and the third signal is transmitted to the second adding module, and then the second adding module adds the third signal and a fourth signal from the inversion module and obtained by the inversion module performing inversion processing on the first signal to obtain an anti-interference processed signal.

[0108] In a possible design, the virtual device further includes a feature vector determination unit, an ANN vector retrieval unit, a direction set acquisition unit, and a module sequence number rearrangement unit;

[0109] The feature vector determination unit is respectively connected to the sampling value acquisition unit and the direction number estimation unit for outputting the estimated number of interference signal directions. Afterwards, the meteorological parameter value and the demodulated signal sampling values ​​of each channel are used as a first eigenvector;

[0110] The ANN vector retrieval unit is communicatively connected to the feature vector determination unit, and is used to perform an ANN vector retrieval on a vector library based on the first feature vector, wherein the vector library is pre-added with a plurality of second feature vectors, and the second feature vectors are composed of meteorological parameter historical values ​​from the meteorological parameter acquisition module and demodulated signal sampling historical values ​​of each channel from the output end of each antenna branch and concurrent with the meteorological parameter historical values;

[0111] The direction set acquisition unit is communicatively connected to the ANN vector retrieval unit, and is used to acquire the interference signal direction set pre-bound and stored with any feature vector if any feature vector having the highest similarity with the first feature vector and the highest similarity exceeds a preset threshold is retrieved in the vector library. ,in, Indicates less than or equal to A positive integer, It indicates that when generating each demodulated signal corresponding to any one of the eigenvectors, it is known that there is an interference signal and the interference beam vector merging module is used to generate an interference beam for merging processing in the corresponding direction. Interference signal direction;

[0112] The module sequence number rearrangement unit is respectively connected to the direction set acquisition unit, the combined signal receiving unit, the complex weight value vector setting unit and the signal vector composition unit for transmitting the signal according to the interference signal direction set. The plurality of interference beam vector merging modules are serially rearranged: the serial number of the first interference beam vector merging module is made smaller than the serial number of the second interference beam vector merging module, wherein the first interference beam vector merging module refers to a module in the plurality of interference beam vector merging modules for generating a signal aligned with the interference signal direction set. An interference beam vector merging module is used for merging the interference beam for processing any interference signal direction, and the second interference beam vector merging module refers to other interference beam vector merging modules among the multiple interference beam vector merging modules except all the first interference beam vector merging modules.

[0113] The working process, working details and technical effects of the aforementioned device provided in the second aspect of this embodiment can be referred to the phased array antenna anti-interference method described in the first aspect or any possible design of the first aspect, and will not be repeated here.

[0114] like Figure 4 As shown, the third aspect of this embodiment provides a signal processing device for executing the anti-interference method of the phased array antenna as described in the first aspect or any possible design of the first aspect, including a memory, a processor and a transceiver that are sequentially connected in communication, wherein the memory is used to store a computer program, the transceiver is used to send and receive messages, and the processor is used to read the computer program to execute the anti-interference method of the phased array antenna as described in the first aspect or any possible design of the first aspect. For example, the memory may include, but is not limited to, a random access memory (Random-Access Memory, RAM), a read-only memory (Read-Only Memory, ROM), a flash memory (Flash Memory), a first-in-first-out memory (First Input First Output, FIFO) and / or a first-in-last-out memory (First Input Last Output, FILO), etc.; the processor may include, but is not limited to, a microprocessor of the STM32F105 series. In addition, the signal processing device may also include, but is not limited to, a power module, a display screen and other necessary components.

[0115] The working process, working details and technical effects of the aforementioned signal processing device provided in the third aspect of this embodiment can be referred to the phased array antenna anti-interference method described in the first aspect or any possible design of the first aspect, and will not be repeated here.

[0116] The fourth aspect of this embodiment provides a computer-readable storage medium storing instructions including the phased array antenna anti-interference method as described in the first aspect or any possible design of the first aspect, that is, the computer-readable storage medium stores instructions, and when the instructions are executed on a computer, the phased array antenna anti-interference method as described in the first aspect or any possible design of the first aspect is executed. The computer-readable storage medium refers to a carrier for storing data, which may include but is not limited to computer-readable storage media such as floppy disks, optical disks, hard disks, flash memories, USB flash drives, and / or memory sticks, and the computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable devices.

[0117] The working process, working details and technical effects of the aforementioned computer-readable storage medium provided in the fourth aspect of this embodiment can be referred to the phased array antenna anti-interference method described in the first aspect or any possible design of the first aspect, and will not be repeated here.

[0118] A fifth aspect of the present embodiment provides a computer program product, including a computer program or an instruction, wherein the computer program or the instruction, when executed by a computer, implements the anti-interference method for a phased array antenna as described in the first aspect or any possible design of the first aspect. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device.

[0119] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A phased array antenna anti-interference method, characterized in that: The method is performed by a signal processing device in a phased array antenna anti-interference system, wherein the phased array antenna anti-interference system further comprises a meteorological parameter acquisition module, a phased array antenna array, a desired beam vector merging module, a plurality of interference beam vector merging modules, an inversion module, a first addition module and a second addition module, the output end of the meteorological parameter acquisition module is connected to the first input end of the signal processing device, the output ends of each antenna branch of the phased array antenna array are respectively connected to the second input end of the signal processing device, the input end of the desired beam vector merging module and the input end of each interference beam vector merging module in the plurality of interference beam vector merging modules, the output end of the desired beam vector merging module is respectively connected to the third input end of the signal processing device and the input end of the inversion module, the output ends of each interference beam vector merging module are respectively connected to the fourth input end of the signal processing device and the first input end of the first addition module, the output end of the signal processing device is connected to the second input end of the first addition module, and the output end of the inversion module and the output end of the first addition module are respectively connected to the two input ends of the second addition module in a one-to-one correspondence; The phased array antenna anti-interference method comprises: Synchronously acquiring the meteorological parameter value from the meteorological parameter acquisition module and the sampling value of each demodulated signal from the output end of each antenna branch, wherein the sampling value of each demodulated signal corresponds to each antenna branch output end one by one; The meteorological parameter values ​​and the demodulated signal sampling values ​​of each channel are introduced into a pre-trained interference signal direction number estimation model based on an artificial intelligence algorithm, and the interference signal direction estimation number is output. ,in, Indicates less than or equal to A positive integer, A total number of modules representing the plurality of interference beam vector merging modules; Receive a first signal from the desired beam vector merging module and each second signal from each interference beam vector merging module, wherein the first signal is obtained by the desired beam vector merging module using the desired beam vector to merge each demodulated signal from the output end of each antenna branch, each second signal corresponds to each interference beam vector merging module one by one, and the second signal is obtained by the corresponding interference beam vector merging module first performing interference beam fitting on each demodulated signal to generate an interference beam aligned with the direction of the corresponding interference signal, and then using the interference beam vector obtained based on the interference beam to merge each demodulated signal; According to the interference signal direction estimation number ,set up dimensional complex weight vector ,in, Indicates less than or equal to A positive integer, Indicates the first one of the multiple interference beam vector merging modules The complex weights corresponding to the interference beam vector merging modules are Sometimes ; According to the interference signal direction estimation number , extract from all the second signal The second signal constitutes a signal vector ,in, Indicates less than or equal to A positive integer, represents the first interference beam vector from the plurality of interference beam vector merging modules the second signal of an interference beam vector combining module; The following formula is used to calculate the dimensional complex weight vector In dimensional complex weight subvector : In the formula, , Indicates that The complex weights corresponding to the interference beam vector merging modules, Represents the signal vector The autocorrelation matrix of Represents the first signal and the signal vector The cross-correlation vector of The dimensional complex weight vector is transmitted to the first adding module so that the first adding module can calculate the value of dimensional complex weight vector All the second signals are added to obtain a third signal, and the third signal is transmitted to the second adding module, and then the second adding module adds the third signal and a fourth signal from the inversion module and obtained by the inversion module performing inversion processing on the first signal to obtain an anti-interference processed signal.

2. The phased array antenna anti-interference method according to claim 1, characterized in that: When the operating frequency band of the phased array antenna array is the Ka band, the meteorological parameter acquisition module includes an air humidity sensor and / or a rainfall sensor.

3. The phased array antenna anti-interference method according to claim 1, characterized in that: The interference signal direction number estimation model is pre-trained according to the following steps: The sample data is obtained in the following manner: the meteorological parameter historical values ​​from the meteorological parameter acquisition module and the sampling historical values ​​of each demodulated signal from the output end of each antenna branch and concurrent with the meteorological parameter historical values ​​are used as model input items, and the total number of directions of interference signals in which interference signals are known to exist when the meteorological parameter historical values ​​are collected is used as a model output item, and then the model input item and the model output item are used as a sample data, wherein the sampling historical values ​​of each demodulated signal correspond to each antenna branch output end one by one; All the sample data are used to perform model training on a machine learning model based on an artificial intelligence algorithm to obtain the interference signal direction number estimation model.

4. The phased array antenna anti-interference method according to claim 1, characterized in that: The artificial intelligence algorithm adopts a machine learning algorithm based on support vector machine, K nearest neighbor method, stochastic gradient descent method, multi-layer perceptron, decision tree, back propagation neural network or radial basis function network.

5. The phased array antenna anti-interference method according to claim 1, characterized in that: The estimated number of interference signal directions is obtained at the output Afterwards, the method further comprises: Taking the meteorological parameter value and the demodulated signal sampling values ​​of each channel as the first eigenvector; Performing ANN vector retrieval on a vector library based on the first feature vector, wherein the vector library is pre-added with a plurality of second feature vectors, and the second feature vectors are composed of meteorological parameter historical values ​​from the meteorological parameter acquisition module and demodulated signal sampling historical values ​​from the output ends of each antenna branch and concurrent with the meteorological parameter historical values; If any feature vector having the highest similarity with the first feature vector and the highest similarity exceeds a preset threshold is retrieved in the vector library, then the interference signal direction set pre-bound and stored with any feature vector is obtained. ,in, Indicates less than or equal to A positive integer, It indicates that when generating each demodulated signal corresponding to any one of the eigenvectors, it is known that there is an interference signal and the interference beam vector merging module is used to generate an interference beam for merging processing in the corresponding direction. Interference signal direction; According to the interference signal direction set The plurality of interference beam vector merging modules are serially rearranged: the serial number of the first interference beam vector merging module is made smaller than the serial number of the second interference beam vector merging module, wherein the first interference beam vector merging module refers to a module in the plurality of interference beam vector merging modules for generating a signal aligned with the interference signal direction set. An interference beam vector merging module is used for merging the interference beam for processing any interference signal direction, and the second interference beam vector merging module refers to other interference beam vector merging modules among the multiple interference beam vector merging modules except all the first interference beam vector merging modules.

6. A phased array antenna anti-interference device, characterized in that: Used to be arranged in a signal processing device of a phased array antenna anti-interference system, wherein the phased array antenna anti-interference system also includes a meteorological parameter acquisition module, a phased array antenna array, a desired beam vector merging module, a plurality of interference beam vector merging modules, an inversion module, a first addition module and a second addition module, the output end of the meteorological parameter acquisition module is connected to the first input end of the signal processing device, the output ends of each antenna branch of the phased array antenna array are respectively connected to the second input end of the signal processing device, the input end of the desired beam vector merging module and the input end of each interference beam vector merging module in the plurality of interference beam vector merging modules, the output end of the desired beam vector merging module is respectively connected to the third input end of the signal processing device and the input end of the inversion module, the output end of each interference beam vector merging module is respectively connected to the fourth input end of the signal processing device and the first input end of the first addition module, the output end of the signal processing device is connected to the second input end of the first addition module, and the output end of the inversion module and the output end of the first addition module are respectively connected to the two input ends of the second addition module in a one-to-one correspondence; The phased array antenna anti-interference device comprises a sampling value acquisition unit, a direction number estimation unit, a combined signal receiving unit, a complex weight vector setting unit, a signal vector composition unit, a complex weight value calculation unit and a complex weight vector sending unit; The sampling value acquisition unit is used to synchronously acquire the meteorological parameter value from the meteorological parameter acquisition module and the sampling value of each demodulated signal from the output end of each antenna branch, wherein the sampling value of each demodulated signal corresponds to each antenna branch output end one by one; The direction number estimation unit is communicatively connected to the sampling value acquisition unit, and is used to import the meteorological parameter value and the sampling value of each demodulated signal into the interference signal direction number estimation model pre-trained based on the artificial intelligence algorithm, and output the interference signal direction estimation number. ,in, Indicates less than or equal to A positive integer, A total number of modules representing the plurality of interference beam vector merging modules; The combined signal receiving unit is used to receive a first signal from the desired beam vector combining module and each second signal from each interference beam vector combining module, wherein the first signal is obtained by the desired beam vector combining module using the desired beam vector to combine each demodulated signal from the output end of each antenna branch, each second signal corresponds to each interference beam vector combining module one by one, and the second signal is obtained by first performing interference beam fitting on each demodulated signal by the corresponding interference beam vector combining module to generate an interference beam aligned with the direction of the corresponding interference signal, and then combining each demodulated signal using the interference beam vector obtained based on the interference beam; The complex weight vector setting unit is communicatively connected to the direction number estimation unit, and is used to estimate the number of interference signal directions. ,set up dimensional complex weight vector ,in, Indicates less than or equal to A positive integer, Indicates the first one of the multiple interference beam vector merging modules The complex weights corresponding to the interference beam vector merging modules are Sometimes ; The signal vector composition unit is respectively connected to the direction number estimation unit and the combined signal receiving unit for estimating the number of interference signals according to the direction of the interference signal. , extract from all the second signal The second signal constitutes a signal vector ,in, Indicates less than or equal to A positive integer, represents the first interference beam vector from the plurality of interference beam vector merging modules the second signal of an interference beam vector combining module; The complex weight value calculation unit is respectively connected to the combined signal receiving unit, the complex weight value vector setting unit and the signal vector composition unit for calculating the complex weight value according to the following formula: dimensional complex weight vector In dimensional complex weight subvector : In the formula, , Indicates that The complex weights corresponding to the interference beam vector merging modules, Represents the signal vector The autocorrelation matrix of Represents the first signal and the signal vector The cross-correlation vector of The complex weight vector sending unit is communicatively connected to the complex weight calculation unit, and is used to send the dimensional complex weight vector is transmitted to the first adding module so that the first adding module can calculate the value of dimensional complex weight vector All the second signals are added to obtain a third signal, and the third signal is transmitted to the second adding module, and then the second adding module adds the third signal and a fourth signal from the inversion module and obtained by the inversion module performing inversion processing on the first signal to obtain an anti-interference processed signal.

7. The phased array antenna anti-interference device according to claim 6, characterized in that: The phased array antenna anti-interference device also includes a feature vector determination unit, an ANN vector retrieval unit, a direction set acquisition unit and a module sequence number rearrangement unit; The feature vector determination unit is respectively connected to the sampling value acquisition unit and the direction number estimation unit for outputting an estimated number of interference signal directions. Afterwards, the meteorological parameter value and the demodulated signal sampling values ​​of each channel are used as the first feature vector; The ANN vector retrieval unit is communicatively connected to the feature vector determination unit, and is used to perform an ANN vector retrieval on a vector library based on the first feature vector, wherein the vector library is pre-added with a plurality of second feature vectors, and the second feature vectors are composed of meteorological parameter historical values ​​from the meteorological parameter acquisition module and demodulated signal sampling historical values ​​of each channel from the output end of each antenna branch and concurrent with the meteorological parameter historical values; The direction set acquisition unit is communicatively connected to the ANN vector retrieval unit, and is used to acquire the interference signal direction set pre-bound and stored with any feature vector if any feature vector having the highest similarity with the first feature vector and the highest similarity exceeds a preset threshold is retrieved in the vector library. ,in, Indicates less than or equal to A positive integer, It indicates that when generating each demodulated signal corresponding to any one of the eigenvectors, it is known that there is an interference signal and the interference beam vector merging module is used to generate an interference beam for merging processing in the corresponding direction. Interference signal direction; The module sequence number rearrangement unit is respectively connected to the direction set acquisition unit, the combined signal receiving unit, the complex weight value vector setting unit and the signal vector composition unit for transmitting the signal according to the interference signal direction set. The plurality of interference beam vector merging modules are serially rearranged: the serial number of the first interference beam vector merging module is made smaller than the serial number of the second interference beam vector merging module, wherein the first interference beam vector merging module refers to a module in the plurality of interference beam vector merging modules for generating a signal aligned with the interference signal direction set. An interference beam vector merging module is used for merging the interference beam for processing any interference signal direction, and the second interference beam vector merging module refers to other interference beam vector merging modules among the multiple interference beam vector merging modules except all the first interference beam vector merging modules.

8. A signal processing device, characterized in that: It includes a memory, a processor and a transceiver which are communicatively connected in sequence, wherein the memory is used to store a computer program, the transceiver is used to send and receive messages, and the processor is used to read the computer program to execute the phased array antenna anti-interference method as described in any one of claims 1 to 5.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores instructions, and when the instructions are executed on a computer, the phased array antenna anti-interference method according to any one of claims 1 to 5 is executed.

10. A computer program product comprising a computer program or instructions, characterized in that When the computer program or the instruction is executed by a computer, the phased array antenna anti-interference method as claimed in any one of claims 1 to 5 is implemented.

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