通信学报 ›› 2013, Vol. 34 ›› Issue (5): 71-78.doi: 10.3969/j.issn.1000-436x.2013.05.008

• 学术论文 • 上一篇    下一篇

Alpha稳定分布噪声环境下类M估计相关的DOA估计新算法

张金凤1,2,邱天爽1,宋爱民1,唐洪1,王娜2   

  1. 1 大连理工大学 电子信息与电气工程学部,辽宁 大连 116024;
    2 深圳大学 深圳市现代通信与信息处理重点实验室,广东深圳 518060
  • 出版日期:2013-05-25 发布日期:2017-06-27
  • 基金资助:
    国家自然科学基金资助项目;国家自然科学基金资助项目;国家自然科学基金资助项目

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

摘要:

摘要:提出了一类适用于Alpha稳定分布随机变量的统计量—类M估计相关(MELC),通过构造阵列输出的类M估计相关矩阵,提出了适用于Alpha稳定分布噪声环境下的波达方向(DOA)估计新算法,即MELC-MUSIC算法。仿真实验表明,在 Alpha 稳定分布噪声环境下,MELC-MUSIC 算法在抗噪声特性、多源信号分辨性以及对不同形式信号(圆对称信号或非圆对称信号)的适应性方面获得比基于分数低阶统计量(FLOS)的MUSIC方法更好的估计性能。

关键词: M估计, 波达方向估计, 分数低阶统计量, MUSIC算法

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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