通信学报Issue(5)：71-78,8.DOI:10.3969/j.issn.1000-436x.2013.05.008
Alpha稳定分布噪声环境下类M估计相关的DOA估计新算法
M-estimate like correlation based algorithm for direction of arrival estimation under alpha-stable environments
摘要
Abstract
A novel class of bounded statistics, namely, the M-estimate like correlation (MELC) for independently identic-al distributed symmetric alpha-stable ( S Sα) 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 S Sα 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.关键词
M估计/波达方向估计/分数低阶统计量/MUSIC 算法Key words
M-estimate/direction of arrival estimation/fractional lower order statistics/MUSIC algorithm分类
信息技术与安全科学引用本文复制引用
张金凤,邱天爽,宋爱民,唐洪,王娜..Alpha稳定分布噪声环境下类M估计相关的DOA估计新算法[J].通信学报,2013,(5):71-78,8.基金项目
国家自然科学基金资助项目（61172108,61139001,60902069）Foundation Item：The National Natural Science Foundation of China (61172108,61139001,60902069) （61172108,61139001,60902069）
