Multi-antenna array LCMV anti-interference method based on adaptive noise adding protection

Abstract

The invention discloses a multi-antenna array LCMV anti-interference method based on adaptive noise adding protection, and relates to the technical field of anti-interference, and the method comprises the steps: carrying out the LCMV anti-interference algorithm processing, weighting and communication waveform matching processing of a received signal, and obtaining a first peak amplitude, a second peak amplitude and a second signal-to-interference ratio; judging whether noise power is increased or not based on the first peak amplitude and the second peak amplitude, and if the noise power is judged to be increased, adding target noise; performing LCMV anti-interference algorithm processing and communication waveform matching processing on the noise-added signal to obtain a new second signal-to-interference ratio and a corresponding weight; and judging whether the noise power of the noise-added signal reaches an upper limit or not, if so, taking the weight corresponding to the maximum value in the plurality of second signal-to-interference ratios as the optimal weight, and completing self-adaptive anti-interference. The invention aims to solve the problem of limited anti-interference capability caused by reduction of the output power of a communication signal while suppressing an interference signal in a current signal suppression interference method for an unknown signal incoming wave direction.

Description

Technical Field

[0001] The invention belongs to the technical field of anti-interference, and in particular relates to a multi-antenna array LCMV anti-interference method based on adaptive noise protection. Background Art

[0002] As an important branch of signal processing, array signal processing has a wide range of applications in the fields of communication, radar, exploration, etc. Among the commonly used traditional anti-interference algorithms, some algorithms require the known direction of arrival of the communication signal, such as the spatial minimum mean square distortionless response (MVDR) anti-interference algorithm, but the known direction of arrival of the communication signal is difficult to meet in the actual system. For the linear constrained minimum variance (LCMV) anti-interference algorithm that does not require the known direction of arrival of the communication signal, when the signal-to-noise ratio is greater than 0, it will also produce a null sink for the communication signal while resisting interference. Therefore, when the direction of the communication signal is unknown and the signal-to-noise ratio is greater than 0, the traditional LCMV anti-interference algorithm cannot be used directly to process the received array signal. The actual signal environment is varied, and the antenna array has dynamic changes in the conversion of different signal states (that is, the array received signals are "noise", "noise + communication signal", "noise + interference signal", "noise + interference signal + communication signal") during the signal reception process. A single anti-interference algorithm cannot be directly used in a variable signal environment. In summary, it is of great significance to design an anti-interference algorithm in the case of unknown communication signal arrival direction for a variable signal environment.

[0003] In the case of unknown signal wave direction, the spatial LCMV anti-interference algorithm can be directly used to suppress interference. However, the implementation principle of the algorithm is to minimize the output signal power of the array antenna. While suppressing the interference signal, it will also reduce the output power of the communication signal, and the anti-interference ability that can be obtained is limited.

[0004] Therefore, the current method for suppressing interference of signals from the direction of unknown signal waves has the problem that while suppressing the interference signal, it also reduces the output power of the communication signal, resulting in limited anti-interference capability. Summary of the invention

[0005] The purpose of the present invention is to provide a multi-antenna array LCMV anti-interference method based on adaptive noise protection to solve the problem that the current signal interference suppression method for the direction of unknown signal waves suppresses the interference signal while also reducing the output power of the communication signal, resulting in limited anti-interference ability.

[0006] To achieve the above object, the present invention adopts the following technical solution:

[0007] On the one hand, the present specification provides a multi-antenna array LCMV anti-interference method based on adaptive noise protection, including:

[0008] Step 102, performing weighting and communication waveform matching processing on the received signal of the array antenna based on the initial weight value to obtain a first peak amplitude;

[0009] Step 104, the received signal of the array antenna is processed by the LCMV anti-interference algorithm, and after obtaining the target weight, a weighted and communication waveform matching process is performed to obtain a second peak amplitude and a second signal-to-noise ratio;

[0010] Step 106, determining whether the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm; if not, determining whether to increase the noise power based on the first peak amplitude and the second peak amplitude; if it is determined that the noise power is increased, adding the target noise to the received signal to obtain a noise-added signal;

[0011] Step 108, subjecting the noisy signal to LCMV anti-interference algorithm processing and communication waveform matching processing to obtain a new second signal-to-noise ratio and a corresponding weight;

[0012] Step 110, determine whether the noise power of the noise-added signal reaches the upper limit. If so, take the weight corresponding to the maximum value of the second signal-to-noise ratio as the optimal weight to complete adaptive anti-interference. If not, continue to increase the power of the added target noise until it reaches the upper limit.

[0013] On the other hand, the present specification provides a multi-antenna array LCMV anti-interference device based on adaptive noise protection, including:

[0014] A first peak amplitude acquisition module is used to perform weighting and communication waveform matching processing on the received signal of the array antenna based on the initial weight value to obtain a first peak amplitude;

[0015] The second peak amplitude acquisition module is used to process the received signal of the array antenna through the LCMV anti-interference algorithm, obtain the target weight, and then perform weighted and communication waveform matching processing to obtain the second peak amplitude and the second signal-to-noise ratio;

[0016] A noise signal adding module is used to determine whether the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm. If not, it is determined whether to increase the noise power based on the first peak amplitude and the second peak amplitude. If it is determined that the noise power is increased, the target noise is added to the received signal to obtain a noise-added signal.

[0017] The noise signal processing module is used to process the noise signal through the LCMV anti-interference algorithm and the communication waveform matching process to obtain a new second signal-to-noise ratio and a corresponding weight;

[0018] The adaptive anti-interference module is used to determine whether the noise power of the noise-added signal reaches the upper limit. If so, the weight corresponding to the maximum value of several second signal-to-noise ratios is used as the optimal weight to complete the adaptive anti-interference. If not, the power of the added target noise continues to increase until the upper limit is reached.

[0019] Based on the above technical solution, this specification can achieve the following technical effects:

[0020] This method successfully overcomes the limitations of the traditional LCMV anti-interference algorithm by introducing adaptive noise protection technology, so that the LCMV anti-interference algorithm is no longer limited by the low signal-to-noise ratio of the array receiving signal, and provides a new solution for the high signal-to-noise ratio array receiving signal. This method takes into account the dynamic changes that the actual array receiving signal may experience, and adopts a flexible processing method, that is, selecting different processing procedures according to different situations, including directly applying the LCMV anti-interference algorithm and using the LCMV anti-interference algorithm after adaptive noise protection. This processing method makes the anti-interference algorithm more in line with the needs of actual array signal processing. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] Figure 1 The figure is a flow chart of a multi-antenna array LCMV anti-interference method with adaptive noise protection in one embodiment of the present invention.

[0022] Figure 2 Schematic diagram of an adaptive noise protection LCMV anti-interference architecture in one embodiment of the present invention.

[0023] Figure 3 The flowchart of the multi-antenna array LCMV anti-interference algorithm with adaptive noise protection in one embodiment of the present invention.

[0024] Figure 4 It is a schematic diagram of the structure of a multi-antenna array LCMV anti-interference device with adaptive noise protection in one embodiment of the present invention.

[0025] Figure 5 The figure is a schematic diagram of an electronic device according to the present invention. DETAILED DESCRIPTION

[0026] The present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. The advantages and features of the present invention will become more apparent from the following description and claims. It should be noted that the drawings are all in very simplified form and are not in precise proportions, and are only used to conveniently and clearly assist in explaining the purpose of the embodiments of the present invention.

[0027] It should be noted that, in order to clearly explain the content of the present invention, the present invention specifically cites multiple embodiments to further illustrate different implementations of the present invention, wherein the multiple embodiments are enumerated rather than exhaustive. In addition, for the sake of brevity of explanation, the contents mentioned in the previous embodiments are often omitted in the subsequent embodiments. Therefore, the contents not mentioned in the subsequent embodiments can refer to the previous embodiments accordingly.

[0028] Example 1

[0029] Please refer to Figure 1 , Figure 1 The figure shows a multi-antenna array LCMV anti-interference method based on adaptive noise protection provided by this embodiment. In this embodiment, the method includes:

[0030] Step 102, performing weighting and communication waveform matching processing on the received signal of the array antenna based on the initial weight value to obtain a first peak amplitude;

[0031] Step 104, the received signal of the array antenna is processed by the LCMV anti-interference algorithm, and after obtaining the target weight, a weighted and communication waveform matching process is performed to obtain a second peak amplitude and a second signal-to-noise ratio;

[0032] Step 106, determining whether the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm; if not, determining whether to increase the noise power based on the first peak amplitude and the second peak amplitude; if it is determined that the noise power is increased, adding the target noise to the received signal to obtain a noise-added signal;

[0033] In this embodiment, one implementation of step 106 is:

[0034] Determine whether the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm. If not, determine whether the first peak amplitude exceeds the first threshold. If so, determine whether the second peak amplitude exceeds the second threshold. If not, determine whether the noise power of the current received signal reaches the upper limit. If not, determine to increase the noise power, add the target noise to the received signal, and obtain the noise-added signal.

[0035] Step 108, subjecting the noisy signal to LCMV anti-interference algorithm processing and communication waveform matching processing to obtain a new second signal-to-noise ratio and a corresponding weight;

[0036] Step 110, determine whether the noise power of the noise-added signal reaches the upper limit. If so, use the weight corresponding to the maximum value of the second signal-to-noise ratio as the optimal weight to complete adaptive anti-interference. If not, continue to increase the power of the added target noise until it reaches the upper limit.

[0037] In this embodiment, when the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm, or the first peak amplitude does not exceed the first threshold, or the second peak amplitude exceeds the second threshold, the initial value weight is used as the optimal weight to complete the adaptive interference.

[0038] In this embodiment, the first threshold is the gain threshold value of the received signal power of the array antenna increased after communication matching filtering; the second threshold is the gain threshold value of the received signal power of the array antenna increased after communication matching filtering after LCMV algorithm anti-interference.

[0039] In this embodiment, the noise power range and step length of the target noise are based on the noise power of the interference with the minimum signal-to-interference ratio among multiple interferences.

[0040] In this embodiment, the matching filter used for the communication waveform matching process needs to be designed according to the received signal of the array antenna.

[0041] In this embodiment, the received signal of the array antenna is a communication incident signal with a spatial directional characteristic; and the target noise is a noise signal without a spatial directional characteristic.

[0042] In this embodiment, when the signal-to-noise ratio of the received signal is less than 0, the LCMV anti-interference algorithm is directly used for processing to obtain an output signal for communication signal processing.

[0043] Specifically, the adaptive noise protection LCMV anti-interference architecture of this solution is as follows Figure 2 shown.

[0044] When the signal incident direction is unknown, the spatial LCMV anti-interference algorithm is directly used to suppress the communication incident signal with spatial directional characteristics in the spatial domain, limiting the signal-to-noise ratio improvement that can be obtained by spatial anti-interference. By adding a noise signal without spatial directional characteristics to protect the communication incident signal with spatial directional characteristics, and combining the spatial LCMV algorithm to implement spatial filtering, the maximum signal-to-noise ratio improvement can be obtained. In view of the fact that the signal-to-noise ratio of the actual array received signal is difficult to obtain and the arrival of the signal and interference is not synchronized, resulting in dynamic changes in the array received signal, a set of adaptive anti-interference structures is designed to ensure that spatial filtering can obtain the maximum signal-to-noise ratio improvement during the dynamic changes of the array antenna received signal.

[0045] exist Figure 2 In the adaptive anti-interference architecture shown, the input signal X is weighted by the weight w to obtain the output signal Y for subsequent communication signal processing. The initial value of the weight w is set to w0 = [1, 0, ..., 0] T, and then updated in real time as the adaptive noise protection architecture runs. In the adaptive noise protection LCMV anti-interference architecture, after the input signal is sent to the anti-interference algorithm, the weight w0 is first set to [1,0,…,0] T After weighting the input signal X, the communication waveform matching process is performed, and the peak amplitude Y1 and signal-to-interference-noise ratio SINR1 are estimated based on the matched output. At the same time, the input signal X is processed by the LCMV algorithm to obtain the weight w L0 , weighted and processed for communication waveform matching to obtain the estimated peak amplitude Y2 and signal-to-interference-noise ratio SINR2. Next, determine whether to start the iterative process in ② based on Y1 and Y2. The iterative process actively adds noise to the input signal X, uses the noisy signal as the input of the LCMV algorithm again, and gradually increases the power of the added noise until the upper limit to continuously adjust the input. After the subsequent algorithm steps, a series of recalculated SINR2 are obtained. After the iterative process, the weight w corresponding to the maximum SINR2 is selected. Li As the final selected weight. If the iteration process is not started, w L0 As the final weight. Finally, the selected weight is used to replace w to complete the adaptive anti-interference.

[0046] In the adaptive noise protection LCMV anti-interference algorithm, the threshold threshold1 of Y1 is the gain threshold value of the array received signal power after communication matching filtering, and the threshold threshold2 of Y2 is the gain threshold value of the array received signal power after LCMV algorithm anti-interference and communication matching filtering.

[0047] It should be noted here that the matched filter needs to be designed according to the communication signal. When the peak amplitude Y1 output after the communication matched filter exceeds the threshold for the first time, it means that the communication signal appears but is not necessarily complete. For example, the communication signal is partially related to the matched filter, but the peak amplitude Y1 output after the matched filter still exceeds the threshold. Therefore, the first snapshot that exceeds the threshold is discarded and the beamforming vector is calculated based on the next snapshot.

[0048] refer to Figure 3 , which is the flow chart of the adaptive noise protection LCMV anti-interference algorithm.

[0049] When SNR is less than 0, the LCMV anti-interference algorithm can effectively protect communications and suppress noise. When the signal is greater than the noise, the LCMV anti-interference algorithm cannot be used to directly process the signal. At this time, the cyclic noise protection is used to achieve SNR less than 0, and then the LCMV anti-interference algorithm is used for processing, as shown above. Figure 3 Show.

[0050] In the algorithm flow shown, if Y1>threshold1 and Y2<threshold2, it means that SNR>0 and there is a communication signal. At this time, the cyclic noise protection process needs to be started. In the cyclic noise protection process, the noise power range and step length used for noise protection are designed based on the minimum interference signal ratio in multiple interferences. Finally, the noise power corresponding to the optimal SINR is selected in the SINR after each step to complete the noise protection. In other cases, the optimal weight value can be selected as w0.

[0051] In summary, this method successfully overcomes the limitations of the traditional LCMV anti-interference algorithm by introducing adaptive noise protection technology, so that the LCMV anti-interference algorithm is no longer limited by the low signal-to-noise ratio of the array receiving signal, and provides a new solution for high signal-to-noise ratio array receiving signals. This method takes into account the dynamic changes that the actual array receiving signal may experience, and adopts a flexible processing method, that is, selecting different processing procedures according to different situations, including directly applying the LCMV anti-interference algorithm and using the LCMV anti-interference algorithm after adaptive noise protection. This processing method makes the anti-interference algorithm more in line with the needs of actual array signal processing.

[0052] Example 2

[0053] Please refer to Figure 4 , Figure 4 The figure shows a multi-antenna array LCMV anti-interference device based on adaptive noise protection provided in this embodiment. In this embodiment, the device includes:

[0054] A peak amplitude acquisition module, used for performing weighting and communication waveform matching processing on the received signal of the array antenna based on the initial weight value to obtain a first peak amplitude;

[0055] The second peak amplitude acquisition module is used to process the received signal of the array antenna through the LCMV anti-interference algorithm, obtain the target weight, and then perform weighted and communication waveform matching processing to obtain the second peak amplitude and the second signal-to-noise ratio;

[0056] A noise signal adding module is used to determine whether the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm. If not, it is determined whether to increase the noise power based on the first peak amplitude and the second peak amplitude. If it is determined that the noise power is increased, the target noise is added to the received signal to obtain a noise-added signal.

[0057] The noise signal processing module is used to process the noise signal through the LCMV anti-interference algorithm and the communication waveform matching process to obtain a new second signal-to-noise ratio and a corresponding weight;

[0058] The adaptive anti-interference module is used to determine whether the noise power of the noise-added signal reaches the upper limit. If so, the weight corresponding to the maximum value of several second signal-to-noise ratios is used as the optimal weight to complete the adaptive anti-interference. If not, the power of the added target noise continues to increase until the upper limit is reached.

[0059] Optionally, when the signal-to-noise ratio of the received signal is less than 0, the LCMV anti-interference algorithm is directly used for processing to obtain an output signal for communication signal processing.

[0060] Optionally, the noise signal adding module is used to determine whether the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm. If not, it is used to determine whether the first peak amplitude exceeds the first threshold. If so, it is used to determine whether the second peak amplitude exceeds the second threshold. If not, it is used to determine whether the noise power of the current received signal reaches an upper limit. If not, it is determined to increase the noise power, and the target noise is added to the received signal to obtain a noise-added signal.

[0061] Optionally, when the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm, or the first peak amplitude does not exceed the first threshold, or the second peak amplitude exceeds the second threshold, the initial weight is used as the optimal weight to complete the adaptive interference.

[0062] Optionally, the first threshold is the gain threshold value of the received signal power of the array antenna increased after communication matching filtering; the second threshold is the gain threshold value of the received signal power of the array antenna increased after communication matching filtering after anti-interference by the LCMV algorithm.

[0063] Optionally, the noise power range and step length of the target noise are based on the noise power of interference with the minimum signal-to-interference ratio among multiple interferences.

[0064] Optionally, the matching filter used for the communication waveform matching processing needs to be designed according to the received signal of the array antenna.

[0065] Optionally, the received signal of the array antenna is a communication incident signal with a spatial directional characteristic; and the target noise is a noise signal without a spatial directional characteristic.

[0066] Based on this, this device successfully overcomes the limitations of the traditional LCMV anti-interference algorithm by introducing adaptive noise protection technology, so that the LCMV anti-interference algorithm is no longer limited by the low signal-to-noise ratio of the array receiving signal, and provides a new solution for the high signal-to-noise ratio array receiving signal. This method takes into account the dynamic changes that the actual array receiving signal may experience, and adopts a flexible processing method, that is, selecting different processing procedures according to different situations, including directly applying the LCMV anti-interference algorithm and using the LCMV anti-interference algorithm after adaptive noise protection. This processing method makes the anti-interference algorithm more in line with the needs of actual array signal processing.

[0067] Example 3

[0068] Please refer to Figure 5 , this embodiment provides an electronic device, which includes a processor, an internal bus, a network interface, a memory and a non-volatile memory, and of course may also include hardware required for other services. The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming a multi-antenna array LCMV anti-interference method based on adaptive noise protection at the logical level. Of course, in addition to software implementation methods, this specification does not exclude other implementation methods, such as logic devices or a combination of software and hardware, etc., that is, the execution subject of the following processing flow is not limited to each logic unit, but can also be hardware or logic devices.

[0069] The network interface, processor and memory can be connected to each other through a bus system. The above bus can be divided into an address bus, a data bus, a control bus, etc.

[0070] The memory is used to store programs. Specifically, the program may include program code, and the program code includes computer operation instructions. The memory may include a read-only memory and a random access memory, and provides instructions and data to the processor.

[0071] The processor is used to execute the program stored in the above memory, and specifically perform:

[0072] Step 102, performing weighting and communication waveform matching processing on the received signal of the array antenna based on the initial weight value to obtain a first peak amplitude;

[0073] Step 104, the received signal of the array antenna is processed by the LCMV anti-interference algorithm, and after obtaining the target weight, a weighted and communication waveform matching process is performed to obtain a second peak amplitude and a second signal-to-noise ratio;

[0074] Step 106, determining whether the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm; if not, determining whether to increase the noise power based on the first peak amplitude and the second peak amplitude; if it is determined that the noise power is increased, adding the target noise to the received signal to obtain a noise-added signal;

[0075] Step 108, subjecting the noisy signal to LCMV anti-interference algorithm processing and communication waveform matching processing to obtain a new second signal-to-noise ratio and a corresponding weight;

[0076] Step 110, determine whether the noise power of the noise-added signal reaches the upper limit. If so, use the weight corresponding to the maximum value of the second signal-to-noise ratio as the optimal weight to complete adaptive anti-interference. If not, continue to increase the power of the added target noise until it reaches the upper limit.

[0077] The processor may be an integrated circuit chip with signal processing capability. In the implementation process, each step of the above method may be completed by an integrated logic circuit of the processor hardware or by instructions in the form of software.

[0078] Based on the same invention, the embodiment of this specification also provides a computer-readable storage medium, which stores one or more programs. When the one or more programs are executed by an electronic device including multiple application programs, the electronic device executes Figure 1-Figure 3 The corresponding embodiment provides a multi-antenna array LCMV anti-interference method based on adaptive noise protection.

[0079] Those skilled in the art will appreciate that the embodiments of this specification may be provided as methods, systems, or computer program products. Therefore, this specification may take the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware. Moreover, this specification may take the form of a computer program product implemented on one or more computer-readable storage media containing computer-usable program code.

[0080] In addition, for the above-mentioned specific implementation of the system, since it is basically similar to the method implementation, the description is relatively simple, and the relevant parts can be referred to the partial description of the method implementation. Moreover, it should be noted that in each module of the system of the present application, the components therein are logically divided according to the functions to be implemented, but the present application is not limited thereto, and the components can be re-divided or combined as needed.

[0081] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other. Each embodiment focuses on the differences between it and other embodiments.

[0082] The above is a description of a specific embodiment of the present specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims can be performed in an order different from that in the embodiments and still achieve the desired results. In addition, the specific order or sequential order shown in the process depicted in the drawings is not necessarily required to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0083] The above is only an embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various changes and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.

Claims

1. A multi-antenna array LCMV anti-interference method based on adaptive noise protection, characterized in that: include: Based on the initial weight value, the received signal of the array antenna is weighted and processed by communication waveform matching to obtain a first peak amplitude; The received signal of the array antenna is processed by the LCMV anti-interference algorithm, and after obtaining the target weight, the weighted and communication waveform matching processing is performed to obtain the second peak amplitude and the second signal-to-noise ratio; Determine whether the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm; if not, determine whether to increase the noise power based on the first peak amplitude and the second peak amplitude; if it is determined that the noise power is increased, add the target noise to the received signal to obtain a noise-added signal; The noisy signal is processed by LCMV anti-interference algorithm and communication waveform matching to obtain a new second signal-to-noise ratio and corresponding weights; It is determined whether the noise power of the noise-added signal reaches the upper limit. If so, the weight corresponding to the maximum value of several second signal-to-noise ratios is used as the optimal weight to complete adaptive anti-interference. If not, the power of the added target noise continues to be increased until the upper limit is reached.

2. The method according to claim 1, characterized in that When the signal-to-noise ratio of the received signal is less than 0, the LCMV anti-interference algorithm is directly used for processing to obtain an output signal for communication signal processing.

3. The method according to claim 1, characterized in that The determining whether the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm; if not, determining whether to increase the noise power based on the first peak amplitude and the second peak amplitude; if it is determined that the noise power is increased, adding the target noise to the received signal, and obtaining the noise-added signal includes: determining whether the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm; if not, determining whether the first peak amplitude exceeds a first threshold; if so, determining whether the second peak amplitude exceeds a second threshold; if not, determining whether the noise power of the current received signal reaches an upper limit; if not, determining that the noise power is increased, adding the target noise to the received signal, and obtaining the noise-added signal.

4. The method according to claim 3, characterized in that When the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm, or the first peak amplitude does not exceed the first threshold, or the second peak amplitude exceeds the second threshold, the initial value weight is used as the optimal weight to complete the adaptive interference.

5. The method according to claim 4, characterized in that The first threshold is the gain threshold value of the received signal power of the array antenna after communication matching filtering; the second threshold is the gain threshold value of the received signal power of the array antenna after LCMV algorithm anti-interference and communication matching filtering.

6. The method according to claim 1, characterized in that The noise power range and step length of the target noise are based on the noise power of the interference with the minimum signal-to-interference ratio among multiple interferences.

7. The method according to claim 1, characterized in that The matching filter used for the communication waveform matching process needs to be designed according to the received signal of the array antenna.

8. The method according to claim 1, characterized in that The received signal of the array antenna is a communication incident signal with spatial directional characteristics; the target noise is a noise signal without spatial directional characteristics.

9. A multi-antenna array LCMV anti-interference device based on adaptive noise protection, characterized in that: include: A first peak amplitude acquisition module is used to perform weighting and communication waveform matching processing on the received signal of the array antenna based on the initial weight value to obtain a first peak amplitude; A second peak amplitude acquisition module is used to process the received signal of the array antenna through the LCMV anti-interference algorithm, obtain the target weight, and then perform weighted and communication waveform matching processing to obtain the second peak amplitude and the second signal-to-noise ratio; A noise signal adding module is used to determine whether the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm. If not, it is determined whether to increase the noise power based on the first peak amplitude and the second peak amplitude. If it is determined that the noise power is increased, the target noise is added to the received signal to obtain a noise-added signal. The noise signal processing module is used to process the noise signal through the LCMV anti-interference algorithm and the communication waveform matching process to obtain a new second signal-to-noise ratio and a corresponding weight; The adaptive anti-interference module is used to determine whether the noise power of the noise-added signal reaches the upper limit. If so, the weight corresponding to the maximum value of several second signal-to-noise ratios is used as the optimal weight to complete the adaptive anti-interference. If not, the power of the added target noise continues to increase until the upper limit is reached.

10. An electronic device, characterized in that: include: processor; and a memory arranged to store computer executable instructions which, when executed, cause the processor to perform the steps of the method as claimed in any one of claims 1 to 8.

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