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.
出处
《信号处理》
CSCD
北大核心
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)