高分辩DOA估计的子空间方法

首先对基阵所张成的空间、信号子空间和噪声子空间给出了定义.通过这些定义对用于高分辩DOA估计的子空间方法,阐述了一个较为系统的理论,并且应用这个理论,对几种典型的子空间方法进行了分析.指出了用子空间方法进行DOA估计的关键是:第一,如何将基阵张成的空间划分为信号子空间和噪声子空间;第二.如何利用信号子空间和(或)噪声子空间估计信号方向矢量.给出了在已知信号子空间和噪声子空间的条件下,满足方位估计唯一性的控制矢量条件,并且给出了证明.

The Subspace Method of High-Resolution DOA Estimation

This paper presents at first the definitions of the space expanded by an array, the signal subspace and the noise subspace. Based on these deflnitions,a more systematic theory of the subspace method used in DOA estimation is described. Applying this theory, some'typical subspace methods ave obtained. The paper points out that the key for performing the DOA estimation, using subspace method, is as follows: a) how to divide the space expanded by an array into the signal and noise subspaces; b) how to estimate the signal direction vector by means of the signal subspace and/or the noise subspace. When the signal subspace or the noise subspace is known, the conditions of sweep vector which satisfies the unique direction estimation are given.