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Discrimination method of radar network cooperative track deception jamming based on convolutional neural network

A convolutional neural network and spoofing jamming technology, applied in the field of radar countermeasures, can solve the problems of statistical characteristics and high error identification rate, and achieve the effect of improving credibility and overcoming the high probability of hard identification error identification

Active Publication Date: 2019-01-25
NAVAL AVIATION UNIV
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Problems solved by technology

[0009] The purpose of the present invention is to propose a radar network cooperative track deception interference identification method based on a convolutional neural network, to solve the problem that the existing method based on multivariate statistical analysis only utilizes the statistical characteristics of the reported track data layer and the low rate of error identification. major issues

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  • Discrimination method of radar network cooperative track deception jamming based on convolutional neural network
  • Discrimination method of radar network cooperative track deception jamming based on convolutional neural network
  • Discrimination method of radar network cooperative track deception jamming based on convolutional neural network

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[0044] Below in conjunction with accompanying drawing, the radar network cooperative track deception interference identification method based on convolutional neural network of the present invention is described in detail (referring to specification sheet appendix figure 1 ).

[0045] Example conditions: There are three two-coordinate radar networks, and the geographic coordinates of radar 1 are: latitude B 1 =37°, longitude L 1 =120°, height H 1 =300m; the geographic coordinates of radar 2 are: latitude B 2 =38°, longitude L 2 =119°, height H 2 =500m; the geographic coordinates of radar 3 are: latitude B 3=37.5°, longitude L 3 =119.5°, height H 3 =700m; the ranging accuracy σ of the three radars ρ Both are 100m, azimuth measurement accuracy σ θ Both are 0.1°; a false track is generated in the northeast sky coordinate system of radar 1, its starting position is (150km, 100km, 5km), and the moving speeds in the three directions of E, N, and U are 300m / s and 50m / s respe...

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Abstract

The invention discloses a convolutional neural network based cooperative radar network track deception jamming discrimination method, and belongs to the technical field of radar countermeasure. Track deception jamming is a new mode of deception jamming special for networking radar, and has the characteristics of strong confusability and high discrimination difficulty; in practical engineering, signals and data information reported by radar stations are quite rich, and the existing method using single data layer characteristics for hard decision has the disadvantages of poor reliability in discrimination results and high false discrimination probability. In order to solve the problem, the method mainly includes the following steps: (1) calculating an identification characteristics parameter set; (2) selecting training and testing samples; (3) utilizing the training sample to train the network, and utilizing the testing sample to test the network. The method is applicable to centralized radar networks and high in correct identification rate of false tracks, and has high engineering application value and popularization prospect.

Description

technical field [0001] The invention belongs to the technical field of radar countermeasures, and is suitable for distinguishing true and false tracks by a long baseline radar network under the condition of cooperative track deception interference. Background technique [0002] Radar countermeasures are an important part of the field of electronic countermeasures in modern warfare. With the development of advanced electronic technology, digital radio frequency storage technology is becoming more and more mature, resulting in the emergence of various advanced radar jamming equipment and jamming styles. Radar nets can effectively use the network The multi-angle, multi-band and other advantages of internal radar can effectively counter various interference patterns such as suppression and deception. In order to achieve a better deception effect on the radar network, coordinated track deception jamming came into being. Through the fine coordination of false tracks, the jamming p...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01S7/36
CPCG01S7/36
Inventor 王国宏杨忠吴巍谭顺成关成斌
Owner NAVAL AVIATION UNIV
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