Feature Analysis of Advanced Radar Emitter Signals Based on Continuous Wavelet Transform

Abstract:

For further study the recognition problem of radar emitter signals (RES), the theory of continuous wavelet transform (CWT) and gray moment are introduced into the feature extraction of RES. A new approach for RES feature extraction was proposed based on CWT and gray moment. By using the time-frequency domain characteristics of wavelet analysis and the moment-based method, the CWT coefficients of RES and the changing rules of RES gray moment were researched. The experiment results shows that the wavelet gray moments of the RES take on a rising trend along with the increase of the order, and the four-order wavelet gray moment vector can express the local information of RES more exactly. This is useful for further research on RES feature extracting.

• Periodical: Applied Mechanics and Materials (Volumes 246-247)
• Pages: 1125-1129
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.246-247.1125
• Online since: December 2012
• Authors: Bin Zhu, Wei Dong Jin
• Keywords: Continuous Wavelet Transform, Feature Analysis, Gray Moment, Radar Emitter Signal

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