An integrated anti-jamming method, system, device and medium applicable to various signal systems
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-14
- Publication Date
- 2026-08-11
AI Technical Summary
扩频体制下，信号功率允许淹没在噪声以下，接收端解扩后可以重新恢复信号；但是非扩频体制下，信号功率一般要求高于基底噪声才能被正常解调
本发明公开了一种适用于多种信号体制的一体化抗干扰方法、系统、设备及介质，所述方法包括通过阵列天线接收多体制、多频率信号，经合路与A/D采样后，计算采样信号的自相关矩阵并特征分解，基于特征值差异分离噪声、信号及干扰子空间；进而利用干扰与信号子空间计算抗干扰权值，对阵列信号加权处理；最后解调与同步解码，若同步失败则反馈至特征分解步骤重新迭代，直至成功。本发明既能够有效抑制非扩频体制下的干扰信号，避免对噪底以上的期望信号造成损失，同时也适用一般的扩频体制信号，且抑制干扰的性能与主流传统算法一致。
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Figure CN122553931A_ABST
Abstract
Description
Technical Field
[0001] This invention relates to the field of adaptive processing technology for array antennas, and in particular to an integrated anti-interference method, system, device, and medium applicable to multiple signal systems. Background Technology
[0002] In satellite or terrestrial transmission networks, transmitters emit signals in various formats to meet different technical requirements, each carrying different information and functions. For example, the same transmitter may generate and transmit both spread-spectrum and non-spread-spectrum signals with different transmit powers. In spread-spectrum mode, the signal power can be submerged below noise, allowing the receiver to recover the signal after despreading. However, in non-spread-spectrum mode, the signal power generally needs to be higher than the floor noise for proper demodulation. In complex environments, array antennas can eliminate interference in the spatial domain using beamforming algorithms. However, for different signal formats, especially in non-spread-spectrum mode where the useful signal is higher than the floor noise, the amplitude-phase inconsistency of the array channels can cause significant loss of the desired signal during the anti-interference process. For the receiver, it needs to simultaneously receive and process signals from both formats. However, in complex environments where strong interference suppression is required at the front end, current mainstream beamforming algorithms such as power inversion, minimum variance distortion-free, and linearly constrained minimum variance cannot achieve integrated anti-interference for multiple signal formats. Therefore, in the conventional mode, two different anti-interference algorithms need to be designed for processing, which is not conducive to the miniaturization, integration and intelligence of the array anti-interference processing unit. Summary of the Invention
[0003] The purpose of this invention is to provide an integrated anti-interference method, system, device and medium applicable to multiple signal systems, aiming to solve or improve at least one of the above-mentioned technical problems.
[0004] To achieve the above objectives, the present invention provides the following solution: An integrated anti-interference method applicable to multiple signal systems includes: Step S1: Receive signals of different systems and frequencies through the array antenna, add and combine the signals according to the channel number, and then perform A / D sampling to obtain multi-channel sampled signals; Step S2: Calculate the autocorrelation matrix of the multi-channel sampled signals, and perform eigenvalue decomposition on the autocorrelation matrix to obtain the eigenvalues and eigenvectors corresponding to each signal; Step S3: Perform subspace separation based on eigenvalue differences, and determine the noise subspace, signal subspace, and interference subspace according to the magnitude of the eigenvalues; Step S4: Calculate anti-interference weights based on the interference subspace and the signal subspace, use the anti-interference weights to weight the array signal sampled by A / D, and output the weighted signal; Step S5: Demodulate and synchronously decode the weighted signal. If synchronization is successful, the process ends. If synchronization fails, the process is fed back to step S2, and feature decomposition is performed again and subsequent steps are executed.
[0005] Optionally, the specific process of step S3 is as follows: Preset the desired signal threshold range and calculate the difference between adjacent feature values: If the difference falls within the expected signal threshold range, a signal subspace is constructed based on the corresponding feature vector; if the difference is greater than the upper limit of the expected signal threshold range, an interference subspace is constructed based on the corresponding feature vector; the remaining feature vectors constitute a noise subspace; the remaining feature vectors include the feature vector corresponding to the minimum feature value and the feature vector corresponding to the difference being less than the lower limit of the expected signal threshold range.
[0006] Optionally, the formula for calculating the anti-interference weight in step S4 is: in, For the interference subspace, It is a unit diagonal matrix. For the signal subspace, H The sign for conjugate transpose. This is a diagonal loading control variable.
[0007] Optionally, the array antenna in step S1 includes two sets of antennas with the same number of array elements.
[0008] Optionally, the synchronization decoding in step S5 includes a frame header synchronization process. If synchronization fails, the auxiliary loop instruction module outputs a feedback instruction to the feature decomposition module, instructing the feature decomposition and subsequent processing to be performed again until synchronization is successful.
[0009] This invention also provides an integrated anti-interference system applicable to multiple signal systems, comprising: an array antenna and radio frequency unit, an A / D sampling unit, a feature decomposition module, a subspace separation and acquisition module, an anti-interference weight vector calculation and weighted processing module, a correlation demodulation module, a synchronization decoding module, and an auxiliary loop instruction module; wherein the correlation demodulation module and the synchronization decoding module are located in the communication terminal; The array antenna and radio frequency unit are used to receive signals of different systems and frequencies through the array antenna, and to add and combine the signals according to the corresponding channel numbers. The A / D sampling unit is used to perform sampling to obtain multiple sampled signals; The feature decomposition module is used to calculate the autocorrelation matrix of the multi-channel sampled signals and perform feature decomposition on the autocorrelation matrix to obtain the feature values and feature vectors corresponding to each signal. The subspace separation and acquisition module is used to perform subspace separation based on feature value differences, and to determine the noise subspace, signal subspace and interference subspace according to the feature value magnitude; The anti-interference weight vector calculation and weighting processing module is used to calculate anti-interference weights based on the interference subspace and the signal subspace, and to use the anti-interference weights to perform weighting processing on the array signal sampled by A / D, and output the weighted signal. The related demodulation module is used to perform carrier stripping and signal demodulation to obtain message bits; The synchronization decoding module is used to perform message parsing and complete the frame header synchronization process; The auxiliary loop instruction module is used to feed back to the feature decomposition module when synchronization fails, so that feature decomposition can be performed again and subsequent processing can be executed.
[0010] The present invention also provides an electronic device, including a memory and a processor, wherein the memory is used to store a computer program, and the processor runs the computer program to cause the electronic device to perform the integrated anti-interference method applicable to multiple signal systems as described above.
[0011] The present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the integrated anti-interference method applicable to multiple signal systems as described above.
[0012] According to specific embodiments provided by the present invention, the present invention discloses the following technical effects: This invention discloses an integrated anti-interference method, system, device, and medium applicable to multiple signal systems. The method includes receiving multi-system, multi-frequency signals through an array antenna, combining and A / D sampling, calculating the autocorrelation matrix of the sampled signals and performing eigenvalue decomposition, separating noise, signal, and interference subspaces based on eigenvalue differences; then calculating anti-interference weights using the interference and signal subspaces, and weighting the array signals; finally demodulating and synchronously decoding, if synchronization fails, feeding back to the eigenvalue decomposition step for iterative repetition until successful. This invention can effectively suppress interference signals under non-spread spectrum systems, avoiding loss of desired signals above the noise floor, and is also applicable to general spread spectrum signals, with interference suppression performance consistent with mainstream traditional algorithms. Attached Figure Description
[0013] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0014] Figure 1 This is a flowchart illustrating the integrated anti-interference method applicable to multiple signal systems according to the present invention. Detailed Implementation
[0015] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.
[0016] The purpose of this invention is to provide an integrated anti-interference method, system, device and medium applicable to multiple signal systems, aiming to solve or improve at least one of the above-mentioned technical problems.
[0017] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, the present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments.
[0018] As a first aspect, such as Figure 1 As shown, this invention provides an integrated anti-interference method applicable to multiple signal systems, comprising: Step S1: Receive signals of different systems and frequencies through the array antenna, add and combine the signals according to their channel numbers, and then perform A / D sampling to obtain multiple sampled signals. The array antenna comprises two sets of antennas with the same number of array elements.
[0019] Step S2: Calculate the autocorrelation matrix of the multi-channel sampled signals, and perform eigenvalue decomposition on the autocorrelation matrix to obtain the eigenvalues and eigenvectors corresponding to each signal.
[0020] Step S3: Perform subspace separation based on eigenvalue differences, and determine the noise subspace, signal subspace, and interference subspace according to the magnitude of the eigenvalues. The specific process of this step is as follows: Preset the desired signal threshold range and calculate the difference between adjacent feature values: If the difference falls within the expected signal threshold range, a signal subspace is constructed based on the corresponding feature vector; if the difference is greater than the upper limit of the expected signal threshold range, an interference subspace is constructed based on the corresponding feature vector; the remaining feature vectors constitute a noise subspace; the remaining feature vectors include the feature vector corresponding to the minimum feature value and the feature vector corresponding to the difference being less than the lower limit of the expected signal threshold range.
[0021] Step S4: Calculate anti-interference weights based on the interference subspace and the signal subspace, use the anti-interference weights to weight the array signal sampled by A / D, and output the weighted signal.
[0022] Step S5: Demodulate and synchronously decode the weighted signal. If synchronization is successful, the process ends; if synchronization fails, feedback is sent to Step S2, feature decomposition is performed again, and subsequent steps are executed. The synchronous decoding includes a frame header synchronization process. If synchronization fails, the auxiliary loop instruction module outputs a feedback instruction to the feature decomposition module, instructing it to repeat feature decomposition and subsequent processing until synchronization is successful.
[0023] As a second aspect, the present invention also provides an integrated anti-interference system applicable to multiple signal systems, comprising: an array antenna and radio frequency unit, an A / D sampling unit, a feature decomposition module, a subspace separation and acquisition module, an anti-interference weight vector calculation and weighted processing module, a correlation demodulation module, a synchronization decoding module, and an auxiliary loop instruction module; wherein the correlation demodulation module and the synchronization decoding module are located in a communication terminal; The array antenna and radio frequency unit are used to receive signals of different systems and frequencies through the array antenna, and to add and combine the signals according to the corresponding channel numbers. The A / D sampling unit is used to perform sampling to obtain multiple sampled signals; The feature decomposition module is used to calculate the autocorrelation matrix of the multi-channel sampled signals and perform feature decomposition on the autocorrelation matrix to obtain the feature values and feature vectors corresponding to each signal. The subspace separation and acquisition module is used to perform subspace separation based on feature value differences, and to determine the noise subspace, signal subspace and interference subspace according to the feature value magnitude; The anti-interference weight vector calculation and weighting processing module is used to calculate anti-interference weights based on the interference subspace and the signal subspace, and to use the anti-interference weights to perform weighting processing on the array signal sampled by A / D, and output the weighted signal. The related demodulation module is used to perform carrier stripping and signal demodulation to obtain message bits; The synchronization decoding module is used to perform message parsing and complete the frame header synchronization process; The auxiliary loop instruction module is used to feed back to the feature decomposition module when synchronization fails, so that feature decomposition can be performed again and subsequent processing can be executed.
[0024] Based on the above methods and system technical solutions, the following embodiments are provided.
[0025] This embodiment mainly includes an array antenna and radio frequency unit, an A / D sampling unit, a feature decomposition module, a subspace separation and acquisition module, an anti-interference weight vector calculation and weighting processing module, a related demodulation module in the communication terminal, a synchronization decoding module, and an auxiliary loop instruction module.
[0026] The array antenna and radio frequency unit are responsible for signal reception, frequency conversion, and filtering; the array antenna includes two sets, array antenna 1 and array antenna 2, with the same number of array elements. M Both receive signals of different systems and frequencies. After output, the signals are added together according to the corresponding channel numbers and then output to the A / D sampling unit.
[0027] The A / D sampling unit samples the array signal, and the number of samples is also [number missing]. M .
[0028] The feature decomposition module for M The sampled signal is processed by first calculating the autocorrelation matrix. And perform feature decomposition to obtain M eigenvalues and M eigenvectors ,in and Arrange them in a one-to-one correspondence, and then output them to the subspace separation and acquisition module.
[0029] The subspace separation acquisition module first calculates the feature value difference. : in Then proceed sequentially to check all By performing the corresponding determination, the noise, signal, and interference subspaces can be obtained. The specific method flow is as follows: In equation (1) express The smallest eigenvalue, for example, is Then the eigenvalue Corresponding feature vector This can be considered as a noise subspace. Based on the power range of the normal signal reaching the receiver, the difference in eigenvalues can be determined. Set the desired signal threshold range as ,if and get this time ,but That is, the signal subspace; if And at this time ,but This is the interference subspace.
[0030] The anti-interference weight vector calculation and weighting processing module is based on the interference subspace. Signal subspace Calculate the anti-interference weights: Compared to conventional algorithms, in the above formula It no longer contains the relevant characteristics of the signal subspace, thus mitigating the loss to the desired signal, while As a signal subspace, it also provides the equivalent phase relationship of the desired signal actually received by the array, thus enabling the establishment of an effective beam pointing and further constraining the desired signal. Indicates the diagonal loading control value. It is a unit diagonal matrix. It can prevent Irreversible or invertible calculations result in decreased accuracy. Next, we use anti-interference weights... Array signal sampled by A / D After weighting, the output is Then the signal The output is sent to the relevant demodulation module in the communication terminal.
[0031] The auxiliary loop instruction module is responsible for outputting the instruction for unsuccessful synchronization and feeding the instruction back to the feature decomposition module, instructing it to re-perform feature decomposition and execute subsequent procedures until synchronization is successful.
[0032] As a third aspect, the present invention also provides an electronic device, including a memory and a processor, the memory for storing a computer program, the processor for running the computer program to cause the electronic device to perform the integrated anti-interference method applicable to multiple signal systems as described above.
[0033] As a fourth aspect, the present invention also provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the integrated anti-interference method applicable to multiple signal systems as described above.
[0034] The various embodiments in this specification are described in a progressive manner, with each embodiment focusing on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other.
[0035] This document uses specific examples to illustrate the principles and implementation methods of the present invention. The descriptions of the above embodiments are only for the purpose of helping to understand the core ideas of the present invention. Furthermore, those skilled in the art will recognize that, based on the ideas of the present invention, there will be changes in the specific implementation methods and application scope. Therefore, the content of this specification should not be construed as a limitation of the present invention.
Claims
1. An integrated anti-interference method applicable to multiple signal systems, characterized in that, include: Step S1: Receive signals of different systems and frequencies through the array antenna, add and combine the signals according to the channel number, and then perform A / D sampling to obtain multi-channel sampled signals; Step S2: Calculate the autocorrelation matrix of the multi-channel sampled signals, and perform eigenvalue decomposition on the autocorrelation matrix to obtain the eigenvalues and eigenvectors corresponding to each signal; Step S3: Perform subspace separation based on eigenvalue differences, and determine the noise subspace, signal subspace, and interference subspace according to the magnitude of the eigenvalues; Step S4: Calculate anti-interference weights based on the interference subspace and the signal subspace, use the anti-interference weights to weight the array signal sampled by A / D, and output the weighted signal; Step S5: Demodulate and synchronously decode the weighted signal. If synchronization is successful, the process ends. If synchronization fails, the process is fed back to step S2, and feature decomposition is performed again and subsequent steps are executed.
2. The integrated anti-interference method applicable to multiple signal systems according to claim 1, characterized in that, The specific process of step S3 is as follows: Preset the desired signal threshold range and calculate the difference between adjacent feature values: If the difference falls within the expected signal threshold range, a signal subspace is constructed based on the corresponding feature vector; if the difference is greater than the upper limit of the expected signal threshold range, an interference subspace is constructed based on the corresponding feature vector; the remaining feature vectors constitute a noise subspace; the remaining feature vectors include the feature vector corresponding to the minimum feature value and the feature vector corresponding to the difference being less than the lower limit of the expected signal threshold range.
3. The integrated anti-interference method applicable to multiple signal systems according to claim 1, characterized in that, The formula for calculating the anti-interference weight in step S4 is as follows: in, For the interference subspace, It is a unit diagonal matrix. For the signal subspace, H The sign for conjugate transpose. This is a diagonal loading control variable.
4. The integrated anti-interference method applicable to multiple signal systems according to claim 1, characterized in that, The array antenna in step S1 includes two sets of antennas with the same number of array elements.
5. The integrated anti-interference method applicable to multiple signal systems according to claim 1, characterized in that, The synchronization decoding in step S5 includes the frame header synchronization process. If the synchronization fails, the auxiliary loop instruction module outputs a feedback instruction to the feature decomposition module, instructing the feature decomposition and subsequent processing to be performed again until the synchronization is successful.
6. An integrated anti-interference system applicable to multiple signal systems, characterized in that, include: The system includes an array antenna and radio frequency unit, an A / D sampling unit, a feature decomposition module, a subspace separation and acquisition module, an anti-interference weight vector calculation and weighting processing module, a correlation demodulation module, a synchronization decoding module, and an auxiliary loop instruction module; wherein, the correlation demodulation module and the synchronization decoding module are located in the communication terminal; The array antenna and radio frequency unit are used to receive signals of different systems and frequencies through the array antenna, and to add and combine the signals according to the corresponding channel numbers. The A / D sampling unit is used to perform sampling to obtain multiple sampled signals; The feature decomposition module is used to calculate the autocorrelation matrix of the multi-channel sampled signals and perform feature decomposition on the autocorrelation matrix to obtain the feature values and feature vectors corresponding to each signal. The subspace separation and acquisition module is used to perform subspace separation based on feature value differences, and to determine the noise subspace, signal subspace and interference subspace according to the feature value magnitude; The anti-interference weight vector calculation and weighting processing module is used to calculate anti-interference weights based on the interference subspace and the signal subspace, and to use the anti-interference weights to perform weighting processing on the array signal sampled by A / D, and output the weighted signal. The related demodulation module is used to perform carrier stripping and signal demodulation to obtain message bits; The synchronization decoding module is used to perform message parsing and complete the frame header synchronization process; The auxiliary loop instruction module is used to feed back to the feature decomposition module when synchronization fails, so that feature decomposition can be performed again and subsequent processing can be executed.
7. An electronic device, characterized in that, The device includes a memory and a processor, the memory being used to store a computer program, and the processor running the computer program to cause the electronic device to perform an integrated anti-interference method applicable to multiple signal systems according to any one of claims 1-5.
8. A computer-readable storage medium, characterized in that, It stores a computer program, which, when executed by a processor, implements the integrated anti-interference method applicable to multiple signal systems as described in any one of claims 1-5.