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一种新颖的DOA估计算法
引用本文:周祎, 冯大政, 刘建强. 一种新颖的DOA估计算法[J]. 电子与信息学报, 2005, 27(10): 1513-1516.
作者姓名:周祎  冯大政  刘建强
作者单位:西安电子科技大学雷达信号处理国家重点实验室,西安,710071;西安电子科技大学雷达信号处理国家重点实验室,西安,710071;西安电子科技大学雷达信号处理国家重点实验室,西安,710071
摘    要:子空间类波达方向(Direction Of Arrival, DOA)估计算法的关键在于得到高质量的信号子空间估计。该文利用矩阵伪逆的双正交性,针对源信号不相关而其本身是色信号的情况,给出了一种新颖的DOA估计算法,它不需要知道噪声统计特性。该算法利用一组空时相关矩阵的结构化信息,能稳健而精确地估计出信号子空间,从而得到DOA的精确估计。仿真实验证实了所给算法的有效性。

关 键 词:阵列信号处理   色噪声  信号子空间   DOA估计   空时相关矩阵
文章编号:1009-5896(2005)10-1513-04
收稿时间:2004-04-05
修稿时间:2004-08-20

A Novel Approach to DOA Estimation
Zhou Yi, Feng Da-zheng, Liu Jian-qiang. A Novel Approach to DOA Estimation[J]. Journal of Electronics & Information Technology, 2005, 27(10): 1513-1516.
Authors:Zhou Yi  Feng Da-zheng  Liu Jian-qiang
Affiliation:National Key Laboratory for Radar Signal Processing, Xidian Univ., Xi'an 710071, China
Abstract:The key issue of the subspace-based Direction Of Arrival (DOA) estimation lies in the estimation of signal subspace with high quality. In the case of uncorrelated signals while the signals are temporally correlated ones, a novel approach for estimation of DOA in unknown correlated noise fields is proposed. Based on the biorthogonality between a matrix and its Moore-Penrose pseudo-inverse, the proposed method makes no assumptions on the spatial covariance matrix of the noise. The approach exploits the structural information of a set of spatio-temporal correlation matrices, and gives a robust and precise estimation of signal subspace to obtain a precise estimation of DOA. The performances are confirmed by computer simulation results.
Keywords:Array signal processing   Color noise   Signal subspace   DOA estimation   Spatio-temporal correlation matrices
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