J4 ›› 2012, Vol. 39 ›› Issue (5): 35-41.doi: 10.3969/j.issn.1001-2400.2012.05.007

• Original Articles • Previous Articles     Next Articles

Adaptive time-frequency analysis based on the parameter decomposition

WANG Hai;MA Linli;ZHANG Min   

  1. (School of Mechano-electronic Engineering, Xidian Univ., Xi'an  710071, China)
  • Received:2011-05-27 Online:2012-10-20 Published:2012-12-13
  • Contact: WANG Hai E-mail:wanghai@mail.xidian.edu.cn

Abstract:

Aiming at the influence of cross terms in the secondary time-frequency transformation, we have studied a kind of time-frequency analysis method based on signal decomposition. Combined with Gaussian extraction thoughts and excellent characteristics of WVD, the signal is decomposed into several chirp signal with gauss envelope components. And then through WVD time-frequency transform and comprehensive display of time-frequency diagrams, the influence of cross terms is eliminated with the signal's time-frequency aggregation degrees maintained. The time-frequency analysis method is applied to radar signal analysis. Experimental results show that this decomposition method effectively eliminates the cross terms of the signal, and maintains its time-frequency aggregation degrees.

Key words: second time-frequency transform, Wigner-Ville distribution, adaptive time-frequency analysis, chirp signal

CLC Number: 

  • TN91

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