Associate Professor
Supervisor of Master's Candidates
Main positions: 教学、科研
Title of Paper:Anti-interception Performance Evaluation of Radar Signal Waveform Based on KL Divergence
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Affiliation of Author(s):电子信息工程学院
Journal:Dianzi Yu Xinxi Xuebao
Abstract:This paper presents a new method for evaluating the anti-interception performance of thirteen kinds of radar signals, which can be used to guide radar waveform designing. The method assumes that white noise signal has the best anti-interception performance, by comparing different radar signals with it, the similarity degree of radar signal and white noise signal can be obtained. First, the characteristics distribution function of white noise and radar signal distribution function are introduced using Wigner semicircle law. Second, KL divergence is used to represent the similarity between radar signal and white noise. Small value of KL divergence means better anti interception performance, and vice versa. Theoretical derivation and simulation results show that this method can evaluate the anti interception performance of different radar signals effectively. © 2017, Science Press. All right reserved.
ISSN No.:1009-5896
Translation or Not:no
Date of Publication:2017-08-01
Co-author:Lu, Wei,YAN HE
Correspondence Author:wxd
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