基于广义相位平滑的矢量阵列波达方向估计

研究如何利用信号的非圆性提高声矢量阵列信号波达方向(Directon of arrival,DOA)估计的精度.提出通过广义相位平滑预处理提高多重信号分类(Multiple signal classification,MUSIC)DOA估计方法特征子空间对数据协方差矩阵扰动的鲁棒性.该法适用于任意中心对称声矢量阵列,且无需子阵划分,不存在孔径损失,并可完成两个多径信号的解相干.仿真结果表明,广义相位平滑处理可明显改善恶劣条件下(低信噪比,小快拍教)基于MUSIC的非圆信号DOA估计精度.

Generalized Phase-Smoothing for DOA Estimation By Using Vector-Sensor Array

The problem of the noncircularity exploitation is addressed for the improvement of acoustie vector-array based direction of arrival(DOA)estimation.The generalized phasesmoothing technique(GPS)is proposed to enhance the robustness of the subspace estimate to the perturbations in the array covariance matrix,and to upgrade the multiple signal classification method(MUSIC)for DOA estimation.This smoothing scheme applies to any type of acoustic vector-array with center-symmetric spatial geometry,does riot require coupled subarrays,and decorrelates two coherent signals.Simulation results show that GPS preproeessing can significantly improve the precision of MUSIC based DOA estimation,in particular for difficult scenarios(low signal to noise ratio,short data length).