脉冲噪声下基于广义类相关熵的DOA估计新方法

基金项目: 国家自然科学基金资助项目（61172108，61139001）

详细信息

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

Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology,Dalian

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。
- 广义类相关熵 /
- 波达方向估计 /
- 分数低阶统计量 /
- MUSIC算法
Abstract: 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.
- generalized correntropy-analogous /
- direction of arrival /
- fractional lower order statistics /
- MUSIC