脉冲噪声下基于广义类相关熵的DOA估计新方法

摘要

According to the limitations of the FLX)M 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-MU-S1C and PFLOM-MUSIC algorithms under low SNR conditions and multi-source signals environment.%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.