基于电磁矢量阵列的非相关分布源DOA估计

DOA Estimation for Un-Correlatively Distributed Source with Electromagnetic Vector-Sensor Array

提出了一种基于电磁矢量阵列(EMVSA)的非相关分布源(UD)DOA估计算法.建立了电磁矢量阵列非相关信号源模型(EMVSA-UD),同时考虑了分布源空域和极化域的分布特性,从而充分利用了分布源的信息.提出基于电磁矢量阵列的非相关分布源近似子空间算法(EMVSA-UD-ASSE),近似利用了信号子空间和噪声子空间的正交性,算法不需要进行特征值分解,避免了对UD确定有效信号子空间维数Me的困难.计算机仿真结果表明,EMVSA-UD合理,EMVSA-UD-ASSE稳定有效.

A direction-of-arrival （DOA） estimation algorithm for un-correlatively distributed （UD） sources is proposed, based on electromagnetic vector-sensor array（EMVSA）. An UD sources model with electromagnetic vector-sensor array （EMVSA-UD） is established, which has considered both space and polarization distribution. The estimator could exploit approximately orthogonal property between pseudo signal and pseudo noise subspaces. Moreover, the proposed algorithm does not require to decompose the eigenvalue of sample covariance matrix and to estimate effective dimension of the pseudo signal subspace. Simulation results indicate that the EMVSA-UD is reasonable, and DOA estimation algorithm performs well.