Journal on Communications ›› 2013, Vol. 34 ›› Issue (5): 71-78.doi: 10.3969/j.issn.1000-436x.2013.05.008

• academic paper • Previous Articles     Next Articles

M-estimate like correlation based algorithm for direction of arrival estimation under alpha-stable environments

Jin-feng ZHANG1,2,Tian-shuang QIU1,Ai-min SONG1,Hong TANG1,Na WANG2   

  1. 1 Faculty of Electronic Information and Electrical Engineering,Dalian University of Technology,Dalian 116024,China;
    2 Shenzhen Key Lab of Advanced Communications and Information Processing,Shenzhen University,Shenzhen 518060,China
  • Online:2013-05-25 Published:2017-06-27
  • Supported by:
    The National Natural Science Foundation of China;The National Natural Science Foundation of China;The National Natural Science Foundation of China

Abstract:

A novel class of bounded statistics,namely,the M-estimate like correlation (MELC) for independently identi-cal distributed symmetric alpha-stable (SαS) random variables was defined.Based on the MELC matrix for the array sensor outputs,a new algorithm for direction of arrival (DOA) estimation in the presence of complex SαS noise was proposed.The comprehensive Monte-Carlo simulation results show that the MELC-MUSIC algorithm not only outper-forms the fractional lower order statistics (FLOS) based MUSIC algorithms under low SNR conditions and multi-source signals environment,but also is robust with circular and noncircular signals.

Key words: M-estimate, direction of arrival estimation, ractional lower order statistics, MUSIC algorithm

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