脉冲噪声下基于广义类相关熵的DOA估计新方法  

The Generalized Correntropy-Analogous Statistics Based Direction of Arrival Estimation in Impulsive Noise Environments

作　　者：邱天爽[1] 张金凤[1] 宋爱民[1] 唐洪[1] 

机构地区：[1]大连理工大学电子信息与电气工程学部,大连116024

出　　处：《信号处理》2012年第4期463-466,共4页Journal of Signal Processing

基　　金：国家自然科学基金资助项目(61172108;61139001)

摘　　要：针对基于分数低阶统计量波达方向估计方法的局限性,受相关熵概念的启发,本文提出广义类相关熵(GCAS)的概念和相应的波达方向估计新方法。计算机仿真结果表明,在Alpha稳定分布噪声环境下,本文提出的基于GCAS的MUSIC波达方向估计方法比基于分数低阶统计量的MUSIC方法在抗噪声特性和多源信号分辨特性等方面具有更好的性能。According to the limitations of the FLOM based direction of arrival（DOA） methods,inspired by the concept of correntropy,this letter proposes a new class of statistics,namely,the generalized correntropy-analogous statistics（GCAS）,and the corresponding new estimation for DOA in the Alpha stable noise conditions.The simulation results show that the proposed GCAS-MUSIC algorithm is much better than those of the fractional lower order statistics based FLOM-MUSIC and PFLOM-MUSIC algorithms under low SNR conditions and multi-source signals environment.

关 键 词：广义类相关熵 波达方向估计 分数低阶统计量 MUSIC算法 

分 类 号：TN911.7[电子电信—通信与信息系统]