Fractal characteristics of sea clutter by empirical mode decomposition

  • YANG Yong-hu ,
  • LI Ying
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  • Navigation College,Dalian Maritime University, Dalian 116026,China)

Received date: 2017-03-22

  Revised date: 2017-04-17

  Online published: 2017-04-17

Abstract

The data of sea clutter was analyzed to determine the multi-fractal characteristics of sea clutter signals. In view of fact that the sea clutter is nonlinear and non-stationary radar echo signal, a new target detection method in sea clutter was proposed considering the advantages of empirical mode decomposition (EMD) and multi-fractal properties. Firstly, the sea clutter signal was decomposed into several intrinsic mode function components (IMF) by using EMD, then multi-fractal detrended fluctuation analysis was utilized to calculate the generalized Hurst exponent for the main functions of IMF. Finally, the training and testing were completed for measured sea clutter data. Results show that the proposed method can effectively realize the target detection in the sea clutter, and the performance is much better than that of the generalized Hurst exponent detecting method in time domain and fractional Fourier transform (FRFT) domain.

Cite this article

YANG Yong-hu , LI Ying . Fractal characteristics of sea clutter by empirical mode decomposition[J]. Journal of Dalian Maritime University, 2017 , 43(3) : 101 -106 . DOI: 10.16411/j.cnki.issn1006-7736.2017.03.017

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