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Moraitakis, I. and Fargues, M.P. (2000) Feature Extraction of Intra-Pulse Modulated Signals Using Time-Frequency Analysis. Proceedings of 21st Century Military Com- munications Conference, Los Angeles, 22-25 October 2000, 737-741. https://doi.org/10.1109/MILCOM.2000.904028

has been cited by the following article:

• 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 The traditional analysis method of one-dimensional transformation domain is no longer applicable to the modern radar signal processing, and it is necessary to seek new methods in the two-dimensional transformation domain.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.