%0 Journal Article
%T Radar Signal Intra-Pulse Feature Extraction Based on Improved Wavelet Transform Algorithm
%A Wenxu Zhang
%A Fuli Sun
%A Bing Wang
%J Int'l J. of Communications, Network and System Sciences
%P 118-127
%@ 1913-3723
%D 2017
%I Scientific Research Publishing
%R 10.4236/ijcns.2017.108B013
%X <div style=\"text-align:justify;\">
	With the new system radar put into practical use, the characteristics of complex radar signals are changing and developing. The traditional analysis method of one-dimensional transformation domain is no longer applicable to the modern radar signal processing, and it is necessary to seek new methods in the two-dimensional transformation domain. The time-frequency analysis method is the most widely used method in the two-dimensional transformation domain. In this paper, two typical time-frequency analysis methods of short-time Fourier transform and Wigner-Ville distribution are studied by analyzing the time-frequency transform of typical radar reconnaissance linear frequency modulation signal, aiming at the problem of low accuracy and sen-sitivity to the signal noise of common methods, the improved wavelet transform algorithm was proposed.
</div>
%K Intra-Pulse Feature Extraction
%K Time-Frequency Analysis
%K Short-Time Fourier Transform
%K Wigner-Ville Distribution
%K Wavelet Transform
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=78388