A Differential Evolution Based Time-Frequency Atom Decomposition for Analyzing Emitter signals

Authors:
Gexiang Zhang;Jixiang Cheng
Affiliations:
School of Electrical Engineering, Southwest Jiaotong University, Sichuan, P.R. China 610031;School of Information Science & Technology, Southwest Jiaotong University, Sichuan, P.R. China 610031
Venue:
MDAI '09 Proceedings of the 6th International Conference on Modeling Decisions for Artificial Intelligence
Year:
2009

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Abstract

This paper discusses the use of time-frequency atom decomposition based on a differential evolution to analyze radar emitter signals. Decomposing a signal into an appropriate time-frequency atoms is a well-known NP-hard problem. This paper applies a differential evolution to replace the traditional approach, a greedy strategy, to approximately solve this problem within a tolerable time. A large number of experiments conducted on various radar emitter signals verify the feasibilities that the time-frequency characteristics are shown by using a small number of decomposed time-frequency atoms, instead of traditional time-frequency distributions.