Anti-interception Performance Evaluation of Radar Signal Waveform Based on KL Divergence

WANG Xudong; LU Wei; YAN He

doi:10.11999/JEIT161124

Volume 39 Issue 8

Aug. 2017

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WANG Xudong, LU Wei, YAN He. Anti-interception Performance Evaluation of Radar Signal Waveform Based on KL Divergence[J]. Journal of Electronics & Information Technology, 2017, 39(8): 1894-1898. doi: 10.11999/JEIT161124

Citation:

WANG Xudong, LU Wei, YAN He. Anti-interception Performance Evaluation of Radar Signal Waveform Based on KL Divergence[J]. Journal of Electronics & Information Technology, 2017, 39(8): 1894-1898. doi: 10.11999/JEIT161124

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Anti-interception Performance Evaluation of Radar Signal Waveform Based on KL Divergence

doi: 10.11999/JEIT161124

Funds:

The National Natural Science Foundation of China (61201208), China Postdoctoral Science Foundation (2014M561643), The Fundamental Research Funds for the Central Universities (NJ20150018)

Received Date: 2016-10-21
Rev Recd Date: 2017-03-17
Publish Date: 2017-08-19

Abstract

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.
- Radar signal waveform,
- Anti-interception performance,
- Evaluation criterion,
- KL divergence,
- Wigner semicircle law

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References(19)

References

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