一种循环最大降维的二维波达方向建模与仿真  

Modeling and Simulation of Two Dimension DOA Estimation by Cyclic Maximization Dimension Reduction

作　　者：聂卫科 房鼎益[1] 陈晓江[1] 冯大政[2] 

机构地区：[1]西北大学信息学院,西安710127 [2]西安电子科技大学雷达信号处理重点实验室,西安710071

出　　处：《系统仿真学报》2014年第12期2858-2862,共5页Journal of System Simulation

基　　金：国家自然科学基金项目(61373177);陕西省自然科学基金项目(2013JM8008);陕西省科技厅专项科研计划(11JK0903)

摘　　要：基于常见的具有平移不变子阵的平面传感器阵列,在子阵传感器任意拓扑布署下,列堆栈两个子阵的接收数据,进而构造分块相关矩阵。提出一种循环最大信号子空间估计方法,利用得到的信号子空间对分块相关矩阵进行降维,处理降维后的分块矩阵,在低秩空间重构出阵列导向矢量矩阵,估计出空间目标的二维到达方向(DOA)。计算机仿真表明:所提算法在信噪比、采样数变化下对目标的定位精度均优于精典2D ESPRIT算法。Based on the common planar sensor array with shift invariance subarrays, in the case of subarrays possess arbitrary topological structure, the received data of the subarrays were column stacked and the block correlation matrix was formed. A cyclic maximization method was proposed to estimate the signal subspace, the estimated signal subspace was then used to reduce the dimension of the block correlation matrix, and the steering vector matrix of sensor array was derived from the dimension reducing matrix, the two dimension direction of arrival （DOA） of spatial targets could be found from steering vector matrix. Simulation results show that the proposed algorithm possesses better location accuracy than the classical 2D ESPRIT algorithm.

关 键 词：目标定位 波达方向 导向矢量 传感器阵列 

分 类 号：TN911.7[电子电信—通信与信息系统]