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

  • Gexiang Zhang
  • Jixiang Cheng
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5861)

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.

Keywords

Differential Evolution Linear Frequency Modulation Atom Decomposition Greedy Strategy Differential Factor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Gexiang Zhang
    • 1
  • Jixiang Cheng
    • 2
  1. 1.School of Electrical EngineeringSouthwest Jiaotong UniversitySichuanP.R. China
  2. 2.School of Information Science & TechnologySouthwest Jiaotong UniversitySichuanP.R. China

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