A method of interference bearing measurement

Abstract

The application discloses a kind of interference azimuth measurement methods, comprising: S1, saturation threshold parameter is obtained from host computer;S2, main lobe interference region is counted, and whether it is saturated interference is confirmed according to the noise amplitude value after pulse pressure;S3, if saturated interference, then the azimuth of interference is calculated according to azimuth average;If non-saturated interference, then the azimuth of interference is calculated according to special azimuth resolution algorithm.This method calculates the azimuth of interference by the judgment of saturation threshold, improves the calculation accuracy of interference azimuth.The maximum resolution and minimum resolution can be set according to the actual situation when pulse amplitude is not over saturation threshold, and the azimuth of each interference can be accurately distinguished under certain interference source azimuth resolution condition when there are multiple active interference, and the azimuth information of interference can be more accurately calculated through special azimuth resolution algorithm.

Description

Technical Field

[0001] This invention relates to the field of radar anti-jamming, and in particular to a method for measuring the azimuth of interference. Background Technology

[0002] With the increasing diversification, complexity, and intelligence of electronic jamming methods, radar anti-jamming faces significant challenges from electronic interference. Existing radar anti-jamming technologies suffer from weak perception of the external interference environment, an inability to adaptively adjust countermeasures based on changes in the interference scenario, a lack of ability to select appropriate countermeasures, and inaccurate interference location measurement. Furthermore, their ability to suppress non-stationary interference needs further improvement. Summary of the Invention

[0003] The purpose of this invention is to provide a radar interference azimuth measurement method, which calculates the azimuth of interference by judging a saturation threshold and considering different situations, thereby improving the accuracy of interference azimuth calculation.

[0004] To this end, the present invention provides a method for measuring the azimuth of interference, comprising: S1, obtaining saturation threshold parameters from a host computer; S2, statistically analyzing the main lobe interference region and comparing the noise amplitude value after pulse compression to confirm whether it is saturated interference; S3, if it is saturated interference, calculating the azimuth of interference based on the azimuth average; if it is non-saturated interference, calculating the azimuth of interference based on a dedicated azimuth resolution algorithm.

[0005] This invention mainly involves extracting IQ data from the non-clutter region after pulse compression based on external active interference information acquired by radar, statistically analyzing the noise amplitude values ​​of multiple pulses, determining the main lobe interference region by comparing the amplitudes of the main channel and auxiliary channels, judging whether the current interference is saturated based on a manually set saturation threshold, storing the amplitude and azimuth values ​​of all pulses in the main lobe interference region based on a two-dimensional array and data linked list data structure, and calculating the azimuth of the interference source in real time and accurately through an azimuth median algorithm and a specially designed multi-interference source azimuth resolution algorithm.

[0006] In addition to the objectives, features, and advantages described above, the present invention has other objectives, features, and advantages. The invention will now be described in further detail with reference to the figures. Attached Figure Description

[0007] The accompanying drawings, which form part of this application, are used to provide a further understanding of the invention. The illustrative embodiments of the invention and their descriptions are used to explain the invention and do not constitute an undue limitation of the invention. In the drawings:

[0008] Figure 1 It is an external relationship diagram for measuring interference information;

[0009] Figure 2 This is a flowchart of the interference orientation measurement method of the present invention;

[0010] Figure 3 This is the main flowchart of the interference orientation calculation process of the present invention;

[0011] Figure 4 This is a flowchart of the azimuth resolution algorithm in the interference azimuth calculation process of the present invention. Detailed Implementation

[0012] The present invention will now be described in detail with reference to the accompanying drawings and embodiments.

[0013] Interference information measurement selects external relations such as Figure 1 As shown. It mainly includes the host computer (command initiation, human-computer interaction), interference parameter storage, and interference azimuth measurement.

[0014] like Figure 2 As shown, the main working steps of interference azimuth measurement are briefly as follows: The host computer initiates an anti-interference command, sends the saturation threshold parameter to the interference azimuth calculation module, counts the main lobe interference area, and the interference azimuth calculation module compares the noise amplitude value after pulse compression to confirm whether it is saturated interference. If it is saturated interference, the interference azimuth is calculated based on the azimuth average. If it is not saturated interference, the interference azimuth is calculated based on a specially designed azimuth resolution algorithm.

[0015] The flowchart for calculating the interference azimuth is as follows: Figure 3 and Figure 4 As shown.

[0016] Step 1: Take 4000 consecutive samples of echo data from 2 / 3 of the range for each pulse, and perform amplitude mean statistics. Compare the amplitude mean with the saturation threshold sent by the host computer.

[0017] If the saturation threshold is exceeded, the average amplitude of the current pulse and its corresponding azimuth are stored in the saturation two-dimensional array, indicating the start of main lobe saturation interference. This continues until multiple consecutive pulses are found to have no main lobe saturation interference markers, indicating the end of main lobe saturation interference. Storage is then stopped (the number of pulses at which saturation interference ends is determined by the actual azimuth resolution index of the interference source), and the process proceeds to step two.

[0018] If the saturation threshold is not exceeded, compare the amplitude values ​​of the main channel and the auxiliary channel. If the main channel is greater than the auxiliary channel, set the main lobe non-saturation interference flag and store the average amplitude of the current pulse and its corresponding azimuth in the non-saturation two-dimensional array, indicating the start of the main lobe non-saturation interference. Continue until multiple consecutive pulses are counted without the main lobe non-saturation interference flag, indicating the end of the main lobe non-saturation interference. End the storage and proceed to step three.

[0019] Step 2: Take the average of the first and last azimuth values ​​in the saturated two-dimensional array as the azimuth source of the current main lobe saturation interference and send it to the host computer for display. The program ends.

[0020] Step 3: Create a new data linked list and proceed to Step 4. The structure of the data linked list can be as shown in the software code in Table 1.

[0021] Table 1

[0022]

[0023] Step 4: Traverse the unsaturated two-dimensional array, find all maxima and minima based on the amplitude information, and then proceed to Step 5. The unsaturated two-dimensional array contains several maxima and minima, which are local limits. A maximum value is larger than its left and right neighbors (a "small peak"), and a minimum value is smaller than its left and right neighbors (a "small trough"). Furthermore, maxima and minima always alternate.

[0024] Step 5: Create a new linked list data node using each maximum value, as shown in the software code in Table 2. Store the amplitude and azimuth information related to the maximum value in sequence. Store the amplitude and azimuth information of the adjacent left minimum value in the data node as the starting amplitude and starting azimuth of the target to be determined interference source. Store the amplitude and azimuth information of the adjacent right minimum value as the ending amplitude and ending azimuth of the target to be determined interference source. Then go to step 6. The same minimum value is the ending amplitude of the target of the previous node and the starting amplitude of the target of the next node. The azimuth and amplitude are in one-to-one correspondence. Once the azimuth corresponding to the maximum and minimum values ​​is found, the value is obtained.

[0025] Table 2

[0026]

[0027] Step 6: Set the interference source azimuth resolution to the minimum resolution azimuth, set the interference source azimuth resolution to 1.8 times the maximum resolution azimuth, traverse the linked list from the beginning, extract the azimuth difference between the first and second nodes of the linked list, and go to step 7; after the traversal is complete, go to step 8.

[0028] Step 7: If the azimuth difference is less than the minimum resolvable azimuth of the interference source, delete the previous linked list node; if it is greater than the maximum resolvable azimuth of the interference source, output the azimuth of the previous linked list node as the target azimuth of the interference source and delete the linked list node; if it is less than the maximum resolvable azimuth of the interference source and greater than the minimum resolvable azimuth of the interference source, by comparing the ratio of the target amplitude to the target end amplitude of the two nodes, remove the node with the smaller ratio of the target amplitude to the target end amplitude.

[0029] Step 8: Output the locations of all distinguishable interference sources, and the program ends.

[0030] This method improves the accuracy of interference location calculation by determining a saturation threshold and calculating the location under different conditions. When the saturation threshold is exceeded, all saturation data is stored using start and end criteria to calculate the interference source location. When the pulse amplitude does not exceed the saturation threshold, the maximum and minimum resolutions can be set according to the actual situation on site. This allows for accurate identification of the location of each interference source under certain azimuth resolution conditions when multiple active interferences are present. Furthermore, the azimuth resolution algorithm can calculate the interference location information more precisely.

[0031] Those skilled in the art will understand that embodiments of the present invention can be provided as methods, apparatus, or computer program products. Therefore, embodiments of the present invention can take the form of entirely hardware embodiments, entirely software embodiments, or embodiments combining software and hardware aspects. Furthermore, embodiments of the present invention can take the form of computer program products implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0032] The above description is merely an embodiment of the present invention and is not intended to limit the invention. Various modifications and variations can be made to the present invention by those skilled in the art. Any modifications, substitutions, or improvements made within the spirit and principles of the present invention should be included within the scope of protection of the present invention.

Claims

1. A method for measuring the azimuth of interference, characterized in that, include: S1. Obtain the saturation threshold parameter from the host computer; S2. Analyze the main lobe interference area and compare it with the noise amplitude value after pulse compression to confirm whether it is saturation interference. S3. If there is saturation interference, the interference direction is calculated based on the azimuth average. If the interference is non-saturated, the direction of the interference is calculated using a dedicated azimuth resolution algorithm. If the interference is non-saturated, the interference azimuth is calculated based on the azimuth average, including: Compare the amplitude values ​​of the main channel and the auxiliary channel. If the main channel amplitude is greater than that of the auxiliary channel amplitude, set the main lobe non-saturation interference flag and store the average amplitude of the current pulse and its corresponding azimuth in the non-saturation two-dimensional array. This indicates the start of the main lobe non-saturation interference. The process continues until multiple consecutive pulses are found to have no main lobe non-saturation interference flag, indicating the end of the main lobe non-saturation interference and the end of the storage. The unsaturated two-dimensional data is traversed to find all maxima and minima based on the amplitude information. Establish a data linked list. Create new linked list data nodes using the found maxima. For each linked list data node, store the amplitude and azimuth information related to the maxima in sequence. Store the amplitude and azimuth information of the adjacent left minimum value in the data node as the starting amplitude and starting azimuth of the target to be determined interference source. Store the amplitude and azimuth information of the adjacent right minimum value in the data node as the ending amplitude and ending azimuth of the target to be determined interference source. Set the minimum and maximum resolution azimuth, traverse the linked list from the beginning, extract the azimuth difference between the first and second nodes of the linked list; if the azimuth difference is less than the minimum resolution azimuth of the interference source, delete the previous linked list node; if it is greater than the maximum resolution azimuth of the interference source, output the azimuth of the previous linked list node as the target azimuth of the interference source and delete the linked list node; if it is less than the maximum resolution azimuth of the interference source but greater than the minimum resolution azimuth of the interference source, by comparing the ratio of the target amplitude to the target end amplitude of the two nodes, remove the node with the smaller ratio of the target amplitude to the target end amplitude. When the traversal is complete, output the locations of all interference sources.

2. The interference azimuth measurement method according to claim 1, characterized in that, The statistical main lobe interference region includes: extracting IQ data from the non-clutter region after pulse compression from the external active interference information obtained from the radar, statistically analyzing the noise amplitude values ​​of multiple pulses, and determining the main lobe interference region by comparing the amplitudes of the main channel and the auxiliary channel.

3. The interference azimuth measurement method according to claim 2, characterized in that, Confirming whether there is saturation interference by comparing the noise amplitude value after pulse compression includes: taking 4000 consecutive sample data from 2 / 3 of the range of the echo data of each pulse, calculating the amplitude mean, comparing the amplitude mean with the saturation threshold sent by the host computer, and determining whether it exceeds the saturation threshold.

4. The interference azimuth measurement method according to claim 1, characterized in that, If there is saturation interference, the interference azimuth is calculated based on the azimuth average, including: The average amplitude of the current pulse and its corresponding azimuth are stored in a saturated two-dimensional array, indicating the start of main lobe saturation interference. The main lobe saturation interference ends when multiple consecutive pulses are found to be free of main lobe saturation interference markers, and storage is stopped. The number of pulses that have ended saturation interference is determined by the actual azimuth resolution index of the interference source. The azimuth values ​​of the first and last values ​​in the saturated two-dimensional array are averaged to obtain the azimuth of the current main lobe saturation interference source, which is then sent to the host computer for display.

5. The interference azimuth measurement method according to claim 1, characterized in that, Set the azimuth resolution of the interference source to the minimum resolution azimuth, and set the azimuth resolution of the interference source to the maximum resolution azimuth at 1.8 times the minimum resolution azimuth.

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