TITLE:
Radar Signal Intra-Pulse Feature Extraction Based on Improved Wavelet Transform Algorithm
AUTHORS:
Wenxu Zhang, Fuli Sun, Bing Wang
KEYWORDS:
Intra-Pulse Feature Extraction, Time-Frequency Analysis, Short-Time Fourier Transform, Wigner-Ville Distribution, Wavelet Transform
JOURNAL NAME:
International Journal of Communications, Network and System Sciences,
Vol.10 No.8B,
August
14,
2017
ABSTRACT: 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 The traditional analysis method of one-dimensional transformation domain is no longer applicable to the modern radar signal processing, and it is necessary to seek new methods in the two-dimensional transformation domain.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.