Optimization method and system for adjusting anti-interference gain of navigation receiver

Abstract

The invention relates to the technical field of navigation testing, and discloses an optimization method and system for adjusting an anti-interference gain of a navigation receiver, so as to avoid invalid frequent switching. The method comprises the following steps: calibrating an interference intensity threshold X and a weight matrix B of the switching gain of the navigation receiver, the weight matrix B being an M-order square matrix, and M being an integer greater than or equal to 3; segmenting the obtained group of M * M * N continuous sampling values of the external interference intensity according to a time sequence, and obtaining the median of each segment based on bubble sorting, N being the number of an odd number of sampling points greater than or equal to 5 in each segment; combining results obtained by subtracting the median of each segment from X into an M-order square matrix A according to a time sequence in an element arrangement mode from left to right and from top to bottom; performing non-filling convolution operation on the square matrix A and the square matrix B to obtain a scalar value C; judging whether the scalar value C is greater than a trigger threshold value or not, and if so, triggering a gain switching operation; otherwise, the gain switching operation is not triggered.

Description

Technical Field

[0001] The present invention relates to wireless communication networks in new generation information technology, and in particular to an optimization method and system for adjusting anti-interference gain of a navigation receiver. Background Art

[0002] Navigation anti-interference technology aims to improve the performance of navigation receivers in complex electromagnetic environments. Existing anti-interference receivers have a fixed RF channel gain, making them inflexible in response to varying levels of interference. When strong suppressive interference occurs, the fixed gain reduces the effective signal from the AD sampling due to overflow and other issues, further weakening the anti-interference effectiveness. Therefore, effective control of the RF gain is necessary to improve anti-interference performance in the face of suppressive interference. Determining whether to change the RF gain configuration is a key challenge in this technology.

[0003] The current existing technologies (such as the "Navigation Receiver Based on Adjustable Radio Frequency Gain and Its Anti-interference Method" disclosed in CN115755110B) mostly adopt a mode of switching gain at a fixed value of interference intensity to solve the above problems. Although this method has a certain effect, when the interference source hovers within a fixed range, the airborne interference source itself will change with the change of the body posture and other conditions. When its interference effect fluctuates repeatedly at this value, the navigation receiving device will continue to switch, which will lead to increased power consumption and increased instability, thereby affecting the anti-interference effect. Summary of the Invention

[0004] The present invention aims to disclose an optimization method and system for adjusting the anti-interference gain of a navigation receiver to avoid ineffective frequent switching.

[0005] To achieve the above-mentioned purpose, the optimization method for adjusting the anti-interference gain of a navigation receiver disclosed in the present invention includes: Step S1, calibrating the interference intensity threshold X and weight matrix B of the navigation receiver switching gain, wherein the weight matrix B is an M-order square matrix, where M is an integer greater than or equal to 3; the sum of the normalized elements of the weight matrix B is 1; Step S2: segment the acquired set of M×M×N continuous sampling values ​​of external interference intensity in time sequence, and obtain the median of each segment based on bubble sort, where N is an odd number of sampling points greater than or equal to 5 in each segment; Step S3: Subtract the median value of each segment from X and combine the results into an M-order square matrix A in a time sequence with elements arranged from left to right and from top to bottom; Step S4: Perform an unfilled convolution operation on the square matrix A and the square matrix B to obtain a scalar value C; Step S5: determine whether the scalar value C is greater than the trigger threshold. If so, trigger the gain switching operation; otherwise, do not trigger the gain switching operation.

[0006] Preferably, the value of M is 3, the value of the trigger threshold is 0, and the weight matrix .

[0007] Preferably, the value of N is 9.

[0008] Preferably, the interference intensity determined by the navigation receiver is in decibels, and the weight matrix B is screened by a measurement mechanism, and the measured environments covered include: Q1. The test jammer hovers within a set distance range while maintaining a constant jamming output power. The maximum jamming intensity detected by the navigation receiver within the set distance range is greater than X, and the difference between the two is less than 5. Q2: The distance between the test jammer and the target is gradually approached while the jammer output power remains constant. Q3. The test jammer hovers in an environment with increasing jamming output power within a set distance range; and the minimum jamming intensity detected by the navigation receiver within the set distance range is greater than X-5, and the maximum jamming intensity is greater than X+5; Q4. The distance between the test jammers is gradually approached in an environment with increasing jammer output power. Among them, in the measured environments of Q1 and Q3, and in the measured environments of Q2 and Q4, the maximum interference intensity detected by the navigation receiver at the initial distance is less than or equal to X-5, and the maximum interference intensity detected by the navigation receiver at the termination distance is greater than X+5; and when the weight matrix B satisfies the conditions of no switching in the measured environment of Q1, switching once each in the measured environments of Q2 and Q4, and the number of switching times in the measured environment of Q3 is less than or equal to two, it is judged to be valid.

[0009] Preferably, the method of the present invention further comprises: when there are at least two valid weight matrices B, selecting the candidate weight matrix with the highest comprehensive sensitivity under the measured environments of Q2, Q3 and Q4 as the final weight matrix B.

[0010] To achieve the above objectives, the present invention also discloses an optimization system for adjusting the anti-interference gain of a navigation receiver, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the above method when executing the computer program.

[0011] The present invention has the following beneficial effects: The continuous sampling values ​​of the series of external interference intensity are segmented, and then the square matrix A is constructed according to the median value in the segment. A non-filling convolution operation is then performed on A and the pre-calibrated matrix B. In essence, it can be regarded as a smoothing process of the interference intensity based on the weight, thereby effectively avoiding the disadvantage of frequent gain switching of the navigation receiver caused by the circling of the jammer when the output power is not adjustable or the power modulation is not large.

[0012] The present invention will be described in further detail below with reference to the accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] The accompanying drawings, which constitute part of this application, are intended to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are intended to explain the present invention and do not constitute an undue limitation of the present invention. In the accompanying drawings: Figure 1 The present invention is a flowchart of an optimization method for adjusting the anti-interference gain of a navigation receiver disclosed in an embodiment of the present invention. DETAILED DESCRIPTION

[0014] The embodiments of the present invention are described in detail below with reference to the accompanying drawings. However, the present invention can be implemented in many different ways as defined and covered by the claims.

[0015] Example 1 This embodiment discloses a method for optimizing a navigation receiver to adjust an anti-interference gain, with reference to the figures, including: Step S1: calibrate the interference intensity threshold X and weight matrix B of the navigation receiver switching gain. The weight matrix B is an M-order square matrix, where M is an integer greater than or equal to 3; the sum of the normalized elements in the weight matrix B is 1.

[0016] In this step, the interference intensity determined by the navigation receiver is in decibels; in addition, based on the application scenario disclosed in CN115755110B, the value of X can be set to 96. Preferably, the weight matrix B is screened through a measurement mechanism, and the measured environments covered include: Q1. The test jammer hovers in an environment where the jamming output power remains constant within a set distance range, and the maximum jamming intensity detected by the navigation receiver within the set distance range is greater than X, and the difference between the two is less than 5.

[0017] Q2. The distance between the test jammer and the test aircraft is gradually approached while maintaining the jammer output power constant.

[0018] Q3. The test jammer hovers in an environment with increasing jamming output power within a set distance range; and the minimum interference intensity detected by the navigation receiver within the set distance range is greater than X-5, and the maximum interference intensity is greater than X+5.

[0019] Q4. The distance between the test jammers is gradually approaching in an environment where the jammer output power is increased.

[0020] Among them, in the measured environments of Q1 and Q3, and in the measured environments of Q2 and Q4, the maximum interference intensity detected by the navigation receiver at the initial distance is less than or equal to X-5, and the maximum interference intensity detected by the navigation receiver at the termination distance is greater than X+5; and when the weight matrix B satisfies the conditions of no switching in the measured environment of Q1, switching once each in the measured environments of Q2 and Q4, and the number of switching times in the measured environment of Q3 is less than or equal to two, it is judged to be valid.

[0021] Furthermore, when there are at least two valid weight matrices B, the candidate weight matrix with the highest comprehensive sensitivity under the measured conditions of Q2, Q3, and Q4 is selected as the final weight matrix B. The sensitivity comparison can be performed by setting a corresponding algorithm based on experience, which is common sense that can be thought of by those skilled in the art based on the teachings of this embodiment and is not elaborated on here.

[0022] Step S2: segment the acquired set of M×M×N continuous sampling values ​​of external interference intensity in time sequence, and obtain the median of each segment based on bubble sort, where N is an odd number of sampling points greater than or equal to 5 in each segment.

[0023] Preferably, in this step, the value of M is 3 and the value of N is 9.

[0024] Step S3: Subtract the median value of each segment from X and combine the results into an M-order square matrix A in a time sequence with elements arranged from left to right and from top to bottom.

[0025] In this step, the order of arranging the medians in each segment in time sequence is: A11, A12, A13, A21, A22, A23, A31, A32, A33.

[0026] Step S4: Perform an unfilled convolution operation on the square matrix A and the square matrix B to obtain a scalar value C.

[0027] Step S5: determine whether the scalar value C is greater than the trigger threshold. If so, trigger the gain switching operation; otherwise, do not trigger the gain switching operation.

[0028] Preferably, the initial value of the trigger threshold in this step can be set to 0. Then, after determining the value of the weight matrix B in a real-world measurement environment, the trigger threshold can be adjusted upward based on measured information such as sensitivity to further improve the effectiveness of gain switching. Preferably, the final adjusted value of the trigger threshold can be set to the product of the minimum element in the weight matrix B and the power adjustment step size of the conventional jammer. As a simple implementation, the value of the trigger threshold can also be directly set to 0.

[0029] In this embodiment, based on the research of the applicant of this case based on measured data, the weight matrix B is preferably: ; It has the expected effect of the present invention on most navigation receivers.

[0030] Example 2 This embodiment discloses an optimization system for adjusting the anti-interference gain of a navigation receiver, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the above method is implemented.

[0031] The system of this embodiment can be applied to a navigation anti-interference receiver device with a configurable gain function. The navigation anti-interference receiver device generally includes: a receiving antenna, a radio frequency processing module, an intermediate frequency processing module, and an anti-interference module with configurable gain. In the specific data processing process, the receiving antenna acquires the satellite signal, the radio frequency processing module performs filtering, signal amplification, and mixing to the intermediate frequency, and the intermediate frequency processing module performs AD sampling, down-conversion, filtering, and extraction to the baseband; and the anti-interference module with configurable gain performs anti-interference processing on the baseband signal; it includes an anti-interference submodule and a channel configuration submodule, which is common knowledge in the field and will not be described in detail. In this embodiment, a switching gain determination module can be added to the configurable gain anti-interference module to execute the data processing process of steps S1 to S5 above. The functional units of this module can be further subdivided into: a median calculation unit, a parameter calibration unit, a convolution operation unit, and a determination unit.

[0032] In summary, the method and system disclosed in the embodiments of the present invention have at least the following beneficial effects: The continuous sampling values ​​of the series of external interference intensity are segmented, and then the square matrix A is constructed according to the median value in the segment. A non-filling convolution operation is then performed on A and the pre-calibrated matrix B. In essence, it can be regarded as a smoothing process of the interference intensity based on the weight, thereby effectively avoiding the disadvantage of frequent gain switching of the navigation receiver caused by the circling of the jammer when the output power is not adjustable or the power modulation is not large.

[0033] The foregoing description is merely a preferred embodiment of the present invention and is not intended to limit the present invention. Those skilled in the art will readily appreciate that various modifications and variations of the present invention are possible. Any modifications, equivalent substitutions, or improvements made within the spirit and principles of the present invention are intended to be within the scope of protection of the present invention.

Claims

1. A method for optimizing the gain of a navigation receiver for adjusting anti-interference, characterized in that: include: Step S1, calibrating the interference intensity threshold X and weight matrix B of the navigation receiver switching gain, wherein the weight matrix B is an M-order square matrix, where M is an integer greater than or equal to 3; the sum of the normalized elements of the weight matrix B is 1; Step S2: segment the acquired set of M×M×N continuous sampling values ​​of external interference intensity in time sequence, and obtain the median of each segment based on bubble sort, where N is an odd number of sampling points greater than or equal to 5 in each segment; Step S3: Subtract the median value of each segment from X and combine the results into an M-order square matrix A in a time sequence with elements arranged from left to right and from top to bottom; Step S4: Perform an unfilled convolution operation on the square matrix A and the square matrix B to obtain a scalar value C; Step S5: determine whether the scalar value C is greater than the set trigger threshold. If so, trigger the gain switching operation; otherwise, do not trigger the gain switching operation.

2. The method for optimizing the gain of a navigation receiver for adjusting anti-interference according to claim 1, characterized in that: The value of M is 3, the value of the trigger threshold is 0, and the value of the weight matrix B is: .

3. The method for optimizing the gain of a navigation receiver for adjusting anti-interference according to claim 1 or 2, characterized in that: The value of N is 9.

4. The method for optimizing the gain of a navigation receiver for adjusting anti-interference according to claim 3, characterized in that: The interference intensity determined by the navigation receiver is in decibels. The weight matrix B is selected through a measurement mechanism, and the measured environments covered include: Q1. The test jammer hovers within a set distance range while maintaining a constant jamming output power. The maximum jamming intensity detected by the navigation receiver within the set distance range is greater than X, and the difference between the two is less than 5. Q2: The distance between the test jammer and the target is gradually approached while the jammer output power remains constant. Q3. The test jammer hovers in an environment with increasing jamming output power within a set distance range; and the minimum jamming intensity detected by the navigation receiver within the set distance range is greater than X-5, and the maximum jamming intensity is greater than X+5; Q4. The distance between the test jammers is gradually approached in an environment with increasing jammer output power. Among them, in the measured environments of Q1 and Q3, and in the measured environments of Q2 and Q4, the maximum interference intensity detected by the navigation receiver at the initial distance is less than or equal to X-5, and the maximum interference intensity detected by the navigation receiver at the termination distance is greater than X+5; and when the weight matrix B satisfies the conditions of no switching in the measured environment of Q1, switching once each in the measured environments of Q2 and Q4, and the number of switching times in the measured environment of Q3 is less than or equal to two, it is judged to be valid.

5. The method for optimizing the gain of a navigation receiver for adjusting anti-interference according to claim 4, characterized in that: Also includes: When there are at least two valid weight matrices B, the candidate weight matrix with the highest comprehensive sensitivity under the measured environments of Q2, Q3 and Q4 is selected as the final weight matrix B.

6. An optimization system for adjusting the anti-interference gain of a navigation receiver, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the method according to any one of claims 1 to 5 is implemented.

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