A multi-antenna array LCMV anti-jamming method based on adaptive noise protection

Abstract

The specification discloses a multi-antenna array LCMV anti-interference method based on adaptive noise protection, relates to the technical field of anti-interference, and comprises the following steps: performing LCMV anti-interference algorithm processing, weighting and communication waveform matching processing on a received signal to obtain a first peak amplitude, a second peak amplitude and a second signal-to-interference-and-noise ratio; determining whether to increase noise power based on the first peak amplitude and the second peak amplitude; if it is determined to increase the noise power, target noise is added; performing LCMV anti-interference algorithm processing and communication waveform matching processing on the noise-added signal to obtain a new second signal-to-interference-and-noise ratio and a corresponding weight; and determining whether the noise power of the noise-added signal reaches an upper limit; if yes, the weight corresponding to the maximum value in the second signal-to-interference-and-noise ratios is taken as an optimal weight, and adaptive anti-interference is completed, so as to solve the problem that, in the prior art, a signal suppression interference method for an unknown signal wave direction reduces the output power of a communication signal while suppressing an interference signal, thereby resulting in limited anti-interference capability.

Description

Technical Field

[0001] This invention belongs to the field of anti-interference technology, specifically relating to an anti-interference method for a multi-antenna array (LCMV) based on adaptive noise protection. Background Technology

[0002] Array signal processing, as an important branch of signal processing, has wide applications in communications, radar, and exploration. In commonly used traditional anti-jamming algorithms, some algorithms require knowledge of the direction of arrival (DOA) of the communication signal, such as the Spatial Minimum Mean Square Distortionless Response (MVDR) anti-jamming algorithm. However, knowing the DOA of the communication signal is difficult to achieve in practical systems. For the Linear Constrained Minimum Variance (LCMV) anti-jamming algorithm, which does not require knowledge of the DOA of the communication signal, when the signal-to-noise ratio (SNR) is greater than 0, it can introduce nulls into the communication signal while suppressing interference. Therefore, when the direction of arrival of the communication signal is unknown and the SNR is greater than 0, the traditional LCMV anti-jamming algorithm cannot be directly used to process the received array signal. Actual signal environments are diverse, and antenna arrays undergo dynamic changes during signal reception, switching between different signal states (i.e., the array receives signals as "noise," "noise + communication signal," "noise + interference signal," and "noise + interference signal + communication signal"). A single anti-jamming algorithm cannot be directly applied to such variable signal environments. In conclusion, designing anti-jamming algorithms for variable signal environments, especially when the DOA of the communication signal is unknown, is of great significance.

[0003] When the direction of the incoming signal is unknown, the spatial LCMV anti-interference algorithm can be directly used to suppress interference. However, the algorithm's implementation principle is to minimize the output signal power of the array antenna. While suppressing the interference signal, it also reduces the output power of the communication signal, resulting in limited anti-interference capability.

[0004] Therefore, current methods for suppressing interference from unknown signal directions have the problem of reducing the output power of communication signals while suppressing interference signals, resulting in limited anti-interference capabilities. Summary of the Invention

[0005] The purpose of this invention is to provide an anti-interference method for multi-antenna arrays (LCMVs) based on adaptive noise protection, in order to solve the problem that current signal suppression methods for unknown signal direction of arrival have limited anti-interference capabilities because they suppress interference signals but also reduce the output power of communication signals.

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

[0007] On the one hand, this specification provides an anti-interference method for multi-antenna arrays (LCMVs) based on adaptive noise protection, including:

[0008] Step 102: Based on the initial weights, the received signal from the array antenna is weighted and subjected to communication waveform matching processing to obtain the first peak amplitude;

[0009] Step 104: The received signal from the array antenna is processed by the LCMV anti-interference algorithm to obtain the target weight, and then weighted and matched with the communication waveform to obtain the second peak amplitude and the second signal-to-interference-plus-noise ratio.

[0010] Step 106: 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 should be increased, add the target noise to the received signal to obtain a noisy signal.

[0011] Step 108: The noisy signal is processed by the LCMV anti-interference algorithm and communication waveform matching to obtain a new second signal-to-interference-plus-noise ratio and corresponding weights.

[0012] Step 110: Determine whether the noise power of the added noise signal has reached the upper limit. If so, take the weight corresponding to the maximum value among several second signal-to-interference-plus-noise ratios 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, this specification provides an anti-interference device for a multi-antenna array LCMV based on adaptive noise protection, including:

[0014] The first peak amplitude acquisition module is used to perform weighted summation and communication waveform matching processing on the received signal of the array antenna based on the initial weights to obtain the 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 sum and communication waveform matching processing to obtain the second peak amplitude and the second signal-to-interference-plus-noise ratio.

[0016] The noise signal addition 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 determines 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 should be increased, the target noise is added to the received signal to obtain the noise-added signal.

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

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

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

[0020] This method successfully overcomes the limitations of traditional LCMV anti-interference algorithms by introducing adaptive noise protection technology. This frees the LCMV anti-interference algorithm from being limited by the low signal-to-noise ratio (SNR) of the received array signal, providing a novel solution for high SNR array received signals. Considering the dynamic changes that the received array signal may undergo, this method employs a flexible processing approach, selecting different processing flows based on different situations. This includes directly applying the LCMV anti-interference algorithm and using it after adaptive noise protection. This approach makes the anti-interference algorithm more suitable for the needs of actual array signal processing. Attached Figure Description

[0021] Figure 1 This is a flowchart illustrating an adaptive noise-protected multi-antenna array (LCMV) anti-interference method according to an embodiment of the present invention.

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

[0023] Figure 3 This is a flowchart of an adaptive noise-protected multi-antenna array LCMV anti-interference algorithm in one embodiment of the present invention.

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

[0025] Figure 5 This is a schematic diagram of an electronic device according to the present invention. Detailed Implementation

[0026] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments. The advantages and features of the present invention will become clearer from the following description and claims. It should be noted that the drawings are all in a very simplified form and are not to a precise scale, and are only used to facilitate and clarify the illustration of the embodiments of the present invention.

[0027] It should be noted that, in order to clearly illustrate the content of this invention, several embodiments are provided to further explain different implementations of the invention. These embodiments are enumerated rather than exhaustive. Furthermore, for the sake of brevity, content mentioned in the preceding embodiments is often omitted in the following embodiments. Therefore, content not mentioned in the later embodiments can be referred to in the preceding embodiments.

[0028] Example 1

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

[0030] Step 102: Based on the initial weights, perform weighted summation and communication waveform matching processing on the received signal of the array antenna to obtain the first peak amplitude;

[0031] Step 104: The received signal from the array antenna is processed by the LCMV anti-interference algorithm to obtain the target weight, and then weighted and matched with the communication waveform to obtain the second peak amplitude and the second signal-to-interference-plus-noise ratio.

[0032] Step 106: 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 should be increased, add the target noise to the received signal to obtain a noisy signal.

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

[0034] If the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm, then it is determined whether the first peak amplitude exceeds the first threshold. If it does, then it is determined whether the second peak amplitude exceeds the second threshold. If not, then it is determined whether the noise power of the current received signal has reached the upper limit. If not, then it is determined to increase the noise power, and the target noise is added to the received signal to obtain a noisy signal.

[0035] Step 108: The noisy signal is processed by the LCMV anti-interference algorithm and communication waveform matching to obtain a new second signal-to-interference-plus-noise ratio and corresponding weights.

[0036] Step 110: Determine whether the noise power of the added noise signal has reached the upper limit. If so, take the weight corresponding to the maximum value among several second signal-to-interference-plus-noise ratios 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, if the signal power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm, or if the first peak amplitude does not exceed the first threshold, or if the second peak amplitude exceeds the second threshold, then the initial value weight is used as the optimal value 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 after communication matched filtering; the second threshold is the gain threshold value of the received signal power of the array antenna after communication matched filtering and anti-interference by the LCMV algorithm.

[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 smallest signal-to-interference ratio among multiple interferences.

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

[0041] In this embodiment, 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.

[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 the output signal for communication signal processing.

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

[0044] When the signal incident direction is unknown, directly using the spatial domain LCMV anti-interference algorithm to suppress communication incident signals with spatial directional characteristics in the spatial domain limits the signal-to-interference-plus-noise ratio (SNR) improvement achievable through spatial anti-interference. By adding noise signals without spatial directional characteristics to protect communication incident signals with spatial directional characteristics, and combining this with the spatial domain LCMV algorithm to achieve spatial filtering, the maximum SNR improvement can be obtained. Considering the difficulty in obtaining the SNR of actual array received signals and the asynchronous arrival of signals and interference causing dynamic changes in the array received signal, an adaptive anti-interference structure is designed to ensure that spatial filtering achieves the maximum SNR 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 a weight w to obtain the output signal Y, which is then used for subsequent communication signal processing. The initial value of the weight w is set to w0 = [1, 0, ..., 0]. TThe values ​​are 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 fed into the anti-interference algorithm, the weights w0 = [1, 0, ..., 0] are first set. T After being weighted and applied to the input signal X, communication waveform matching processing is performed. The peak amplitude Y1 and signal-to-interference-plus-noise ratio (SINR) SINR1 are estimated based on the matched output. Simultaneously, the input signal X is processed by the LCMV algorithm to obtain the weighting value w. L0 After weighting and performing communication waveform matching processing, the estimated peak amplitude Y2 and signal-to-interference-plus-noise ratio (SINR) SINR2 are obtained. Next, based on Y1 and Y2, it is determined whether to initiate the iterative process in step ②. The iterative process actively adds noise to the input signal X, using the noisy signal as the input to the LCMV algorithm again, and gradually increasing the power of the added noise until it reaches its upper limit to continuously adjust the input. After subsequent algorithm steps, a series of recalculated SINR2s are obtained. After the iterative process ends, the weight w corresponding to the maximum SINR2 is selected. Li This is used as the final selected weight. If the iteration process has not started, then w is selected. L0 This serves as the final weight. Finally, the selected weight is used to replace w, completing the adaptive anti-interference mechanism.

[0046] In the adaptive noise protection LCMV anti-interference algorithm, the threshold 1 of Y1 is the gain threshold value of the array received signal power after communication matching filtering, and the threshold 2 of Y2 is the gain threshold value of the array received signal power after communication matching filtering after anti-interference by the LCMV algorithm.

[0047] It should be noted that the matched filter needs to be designed according to the communication signal. When the peak amplitude Y1 of the output after the communication matched filter exceeds the threshold for the first time, it means that the communication signal has appeared but is not necessarily complete. For example, the communication signal is partially related to the matched filter, but the peak amplitude Y1 of the 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 The flowchart shows the anti-interference algorithm for adaptive noise protection LCMV.

[0049] When SNR < 0, the LCMV anti-interference algorithm can effectively protect communication and suppress noise. When the signal strength is greater than the noise level, the LCMV anti-interference algorithm cannot be used to directly process the signal. In this case, cyclic noise protection is used to achieve SNR < 0 before the LCMV anti-interference algorithm is applied, as described above. Figure 3 Show.

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

[0051] In summary, this method successfully overcomes the limitations of traditional LCMV anti-interference algorithms by introducing adaptive noise protection technology. This frees the LCMV anti-interference algorithm from being limited by the low signal-to-noise ratio (SNR) of the received array signal, providing a novel solution for high SNR array received signals. Considering the dynamic changes that the received array signal may undergo, this method employs a flexible processing approach, selecting different processing flows based on different situations. This includes directly applying the LCMV anti-interference algorithm and using it after adaptive noise protection. This approach makes the anti-interference algorithm more suitable for the needs of actual array signal processing.

[0052] Example 2

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

[0054] A peak amplitude acquisition module is used to perform weighted summation and communication waveform matching processing on the received signal of the array antenna based on the initial weights to obtain the 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 sum and communication waveform matching processing to obtain the second peak amplitude and the second signal-to-interference-plus-noise ratio.

[0056] The noise signal addition 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 determines 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 should be increased, the target noise is added to the received signal to obtain the noise-added signal.

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

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

[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 the output signal for communication signal processing.

[0060] Optionally, the noise signal addition module is used to determine whether the signal power of the received signal after being processed by the LCMV anti-interference algorithm remains unchanged. If not, it determines whether the first peak amplitude exceeds the first threshold. If yes, it determines whether the second peak amplitude exceeds the second threshold. If no, it determines whether the noise power of the current received signal has reached the upper limit. If no, it determines that the noise power is to be increased, and the target noise is added to the received signal to obtain a noise-added signal.

[0061] Optionally, if 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, then the initial value weight is taken as the optimal value to complete the adaptive interference.

[0062] Optionally, the first threshold is the gain threshold value of the received signal power of the array antenna after communication matched filtering; the second threshold is the gain threshold value of the received signal power of the array antenna after communication matched filtering and 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 the interference with the lowest signal-to-interference ratio among multiple interferences.

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

[0065] Optionally, 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.

[0066] Based on this, this device successfully overcomes the limitations of traditional LCMV anti-interference algorithms by introducing adaptive noise protection technology. This allows the LCMV anti-interference algorithm to no longer be limited by the low signal-to-noise ratio (SNR) of the array's received signal, providing a completely new solution for high SNR array received signals. This method considers the dynamic changes that the actual array received signal may undergo and adopts a flexible processing approach, selecting different processing flows according to different situations. This includes directly applying the LCMV anti-interference algorithm and using it after adaptive noise protection. This approach makes the anti-interference algorithm more suitable for the needs of actual array signal processing.

[0067] Example 3

[0068] Please refer to Figure 5 This embodiment provides an electronic device including a processor, an internal bus, a network interface, memory, and non-volatile memory, and may also include other hardware required for services. The processor reads the corresponding computer program from the non-volatile memory into 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, this specification does not exclude other implementation methods, such as logic devices or a combination of hardware and software, etc. That is, the execution subject of the following processing flow is not limited to individual logic units, but can also be hardware or logic devices.

[0069] Network interfaces, processors, and memory can be interconnected via a bus system. These buses can be categorized as address buses, data buses, control buses, etc.

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

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

[0072] Step 102: Based on the initial weights, the received signal from the array antenna is weighted and subjected to communication waveform matching processing to obtain the first peak amplitude;

[0073] Step 104: The received signal from the array antenna is processed by the LCMV anti-interference algorithm to obtain the target weight, and then weighted and matched with the communication waveform to obtain the second peak amplitude and the second signal-to-interference-plus-noise ratio.

[0074] Step 106: 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 should be increased, add the target noise to the received signal to obtain a noisy signal.

[0075] Step 108: The noisy signal is processed by the LCMV anti-interference algorithm and communication waveform matching to obtain a new second signal-to-interference-plus-noise ratio and corresponding weights.

[0076] Step 110: Determine whether the noise power of the added noise signal has reached the upper limit. If so, take the weight corresponding to the maximum value among several second signal-to-interference-plus-noise ratios 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] A processor may be an integrated circuit chip with signal processing capabilities. In implementation, the steps of the above method can be completed through the processor's integrated hardware logic circuits or software instructions.

[0078] Based on the same invention, embodiments of this specification also provide a computer-readable storage medium that stores one or more programs, which, when executed by an electronic device including multiple applications, cause the electronic device to perform... Figures 1-3 The corresponding implementation provides an anti-interference method for multi-antenna arrays (LCMVs) based on adaptive noise protection.

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

[0080] Furthermore, the specific implementation of the above system is basically similar to the method implementation, so the description is relatively simple. For relevant details, please refer to the description of the method implementation. Moreover, it should be noted that in the various modules of the system of this application, the components are logically divided according to the functions they are to perform. However, this application is not limited to this and can re-divide or combine the components as needed.

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

[0082] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps described in the claims may be performed in a different order than those shown in the embodiments and still achieve the desired result. Furthermore, the specific order or sequential order shown in the drawings is not necessarily required to achieve the desired result; in some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0083] The above description is merely an embodiment of this application and is not intended to limit the scope of this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the scope of the claims of this application.

Claims

1. A multi-antenna array LCMV anti-interference method based on adaptive noise protection, characterized in that, include: The received signal from the array antenna is weighted and matched with the communication waveform based on the initial weights to obtain the first peak amplitude. The received signal from the array antenna is processed by the LCMV anti-interference algorithm to obtain the target weight. Then, the weighted sum is performed and the communication waveform is matched to obtain the second peak amplitude and the second signal-to-interference-plus-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 should be increased, then add the target noise to the received signal to obtain a noisy signal. The noisy signal is processed by the LCMV anti-interference algorithm and communication waveform matching to obtain a new second signal-to-interference-plus-noise ratio and corresponding weights. Determine whether the noise power of the added signal has reached the upper limit. If so, take the weight corresponding to the maximum value among several second signal-to-interference-plus-noise ratios 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. The step of determining whether the signal power of the received signal after processing by the LCMV anti-interference algorithm remains unchanged, and if not, determining whether to increase noise power based on the first peak amplitude and the second peak amplitude, and if it is determined that the noise power should be increased, then adding target noise to the received signal to obtain a noisy signal includes: determining whether the signal power of the received signal after processing by the LCMV anti-interference algorithm remains unchanged, and if not, determining whether the first peak amplitude exceeds the first threshold, and if so, determining whether the second peak amplitude exceeds the second threshold, and if not, determining whether the noise power of the current received signal has reached the upper limit, and if not, determining that the noise power should be increased, adding target noise to the received signal to obtain a noisy signal; The first threshold is the gain threshold value of the received signal power of the array antenna after communication matched filtering; the second threshold is the gain threshold value of the received signal power of the array antenna after communication matched filtering and anti-interference by the LCMV algorithm.

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 the output signal for communication signal processing.

3. The method according to claim 1, characterized in that, If the power of the received signal remains unchanged after being processed by the LCMV anti-interference algorithm, or if the first peak amplitude does not exceed the first threshold, or if the second peak amplitude exceeds the second threshold, then the initial weight is taken as the optimal weight to complete the adaptive interference.

4. 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 lowest signal-to-interference ratio among multiple interferences.

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

6. 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.

7. A multi-antenna array LCMV anti-interference device based on adaptive noise protection, characterized in that, include: The first peak amplitude acquisition module is used to perform weighted summation and communication waveform matching processing on the received signal of the array antenna based on the initial weights to obtain the first peak amplitude; 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 sum and communication waveform matching processing to obtain the second peak amplitude and the second signal-to-interference-plus-noise ratio. The noise signal addition 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 determines 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 should be increased, the target noise is added to the received signal to obtain the noise-added signal. The noise-adding signal processing module is used to process the noise-adding signal through the LCMV anti-interference algorithm and communication waveform matching to obtain a new second signal-to-interference-plus-noise ratio and corresponding weights. The adaptive anti-interference module is used to determine whether the noise power of the added signal has reached the upper limit. If so, the weight corresponding to the maximum value among several second signal-to-interference-plus-noise ratios is used as the optimal weight to complete the adaptive anti-interference. If not, the power of the added target noise is increased until it reaches the upper limit. The step of determining whether the signal power of the received signal after processing by the LCMV anti-interference algorithm remains unchanged, and if not, determining whether to increase noise power based on the first peak amplitude and the second peak amplitude, and if it is determined that the noise power should be increased, then adding target noise to the received signal to obtain a noisy signal includes: determining whether the signal power of the received signal after processing by the LCMV anti-interference algorithm remains unchanged, and if not, determining whether the first peak amplitude exceeds the first threshold, and if so, determining whether the second peak amplitude exceeds the second threshold, and if not, determining whether the noise power of the current received signal has reached the upper limit, and if not, determining that the noise power should be increased, adding target noise to the received signal to obtain a noisy signal; The first threshold is the gain threshold value of the received signal power of the array antenna after communication matched filtering; the second threshold is the gain threshold value of the received signal power of the array antenna after communication matched filtering and anti-interference by the LCMV algorithm.

8. 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 6.

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