A classification and identification method of active suppression interference based on peak discrete characteristics in frft domain
A technology for suppressing interference and classification and recognition, applied in radio wave measurement systems, instruments, etc., can solve the problems of unstable recognition rate and large amount of calculation of classification and recognition algorithms, achieve good self-adaptive classification and recognition, and eliminate time-frequency domain feature extraction complex effects
Active Publication Date: 2019-12-17
NAVAL AVIATION UNIV
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[0005] The purpose of the present invention is to propose a method for classification and identification of active suppressed interference based on the discrete characteristics of FRFT domain peaks, to solve the problem of unstable recognition rate and large amount of calculation of the classification recognition algorithm based on FRFT domain fractal characteristic parameters
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[0055] The active suppression interference classification and target identification method based on the multi-period FRFT domain peak characteristics of the present invention will be described in detail below in conjunction with the accompanying drawings. Refer to attached figure 1 , the specific implementation steps are as follows:
[0056] (1) Divide the echo signal within a certain observation time into N parts, and perform FRFT on the N segments of the signal respectively, and obtain the transformation order p of the peak value of each segment of the signal through peak search in the FRFT domain j (j=1,2...6);
[0057] (2) to p j Find the standard deviation, and complete the first step of target recognition according to the following judgment formula;
[0058]
[0059] (3) If σ is less than the threshold value E, then apply the sequential detection algorithm to make the second step of target recognition according to the following decision formula.
[0060]
[006...
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The invention provides an active blanket jamming classification and identification method based on the peak dispersion characteristic of an FRFT domain. The method mainly comprises the following steps: (1) radar echo signals in multiple continuous time periods are transformed to an FRFT domain through FRFT, and the transform orders of the peaks of multiple sections of signals in the FRFT domain are obtained through peak search; (2) there is a significant peak difference between LFM signals and blanket jamming signals in the FRFT domain, and under the condition of low jamming-to-signal ratio, the target characteristic of echo signals is obvious, there is no need to classify and identify blanket jamming, and a target is identified directly based on the peak characteristic of LFM signals; and (3) under the condition of high jamming-to-signal ratio, a target cannot be identified, the blanket jamming characteristic of echo signals is obvious at the moment, and blanket jamming is classified according to the peak characteristic difference between different types of blanket jamming. By combining blanket jamming classification and target identification, adaptive processing of echo signals by a radar system is realized.
Description
technical field [0001] The invention belongs to the field of radar anti-interference and is suitable for solving the problems of interference classification and target identification of linear frequency modulation radar under active suppression interference. Background technique [0002] The electromagnetic environment faced by modern radar is becoming increasingly harsh, and the electromagnetic interference technology for radar is developing rapidly, among which active suppressing interference is one of the main ways of radar interference. The extensive use of active suppression jamming has greatly restricted the combat effectiveness of radars. In the face of active suppression jamming, the classification and identification of jamming signals has become the key to anti-jamming work. According to the classification and identification results, the anti-jamming system can be targeted Anti-interference measures are taken to ensure that the radar can still detect and track the t...
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IPC IPC(8): G01S7/36G01S7/41
CPCG01S7/36G01S7/41
Inventor 张翔宇王国宏白杰于洪波
Owner NAVAL AVIATION UNIV