A novel correntropy based DOA estimation algorithm in impulsive noise environments

被引：64

作者：

Zhang, Jinfeng ^{[1
,2
]}

Qiu, Tianshuang ^{[1
]}

Song, Aimin ^{[1
]}

Tang, Hong ^{[1
]}

机构：

[1] Dalian Univ Technol, Fac Elect Informat & Elect Engn, Dalian 116024, Peoples R China

[2] Shenzhen Univ, Shenzhen Key Lab Adv Commun & Informat Proc, Shenzhen 518060, Peoples R China

来源：

SIGNAL PROCESSING | 2014年 / 104卷

基金：

中国国家自然科学基金;

关键词：

Correntropy; Direction of arrival; Fractional lower order statistics; Impulsive noise; Symmetric alpha-stable process;

D O I：

10.1016/j.sigpro.2014.04.033

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The Direction of Arrival (DOA) estimation under impulsive noise environments remains open in the field of array signal processing. Inspired by the advantage of correntropy which exhibits a 'robust statistics' property, this paper proposes a new operator, namely, the correntropy based correlation (CRCO), for independent and identically distributed (i.i.d) symmetric alpha-stable (SaS) random variables. We define the CRCO based matrix for the array sensor outputs and show that it can be applied with MUSIC to estimating DOAs in the presence of complex symmetric alpha-stable noise. The comprehensive Monte-Carlo simulation results demonstrate that CRCO-MUSIC outperforms the existing fractional lower order statistics (FLOS) based MUSIC algorithms especially in highly impulsive noise environments. (C) 2014 Elsevier B.V. All rights reserved.

引用

页码：346 / 357

页数：12

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