Radar Signal Intra-Pulse Feature Extraction Based on Improved Wavelet Transform Algorithm

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DOI: 10.4236/ijcns.2017.108B013    1,146 Downloads   2,645 Views  Citations

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 The traditional analysis method of one-dimensional transformation domain is no longer applicable to the modern radar signal processing, and it is necessary to seek new methods in the two-dimensional transformation domain.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

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Zhang, W. , Sun, F. and Wang, B. (2017) Radar Signal Intra-Pulse Feature Extraction Based on Improved Wavelet Transform Algorithm. International Journal of Communications, Network and System Sciences, 10, 118-127. doi: 10.4236/ijcns.2017.108B013.

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