一种高分辨率二维信号参量估计方法——波达方向矩阵法  

A High Resolution Approach to 2-D Signal Parameter Estimation——DOA Matrix Method

作　　者：殷勤业[1] 邹理和[1] Robert W.Newcomb 

机构地区：[1]西安交通大学信息与控制工程系 [2]美国马里兰大学电气系

出　　处：《通信学报》1991年第4期1-7,44,共8页Journal on Communications

基　　金：国家自然科学基金;美国国家科学基金(NSF)

摘　　要：本文以阵列信号处理为背景讨论了二维信号参量估计问题,提出并探讨了一种双线性平行阵列的信号模型及其特征结构。根据协方差矩阵的性质,构造了波达方向矩阵。理论分析表明:通过对波达方向矩阵的特征分解,可以直接获得待估计的信号方向矢量和信号方向元素,并可由此估计信号参量,从而完全避开了多项式搜索。本文还论述了如何用波达方向矩阵法解决相干源问题。波达方向矩阵法不但运算量极小,而且具有分辨率高,估计方差小等优点。本文给出了计算机仿真对比实验,验证了该方法的性能。High resolution estimates of two dimensional (2-D) signal parameters based on array signal processing are addressed in this paper. A new signal model of two parallel linear arrays is suggested, and its eigenstructure is investigated. A matrix, called the Direction of Arrival (DOA) matrix, is formed from the covariance matrices. Theoretical analysis shows that signal direction vectors and signal dire ction elements as well as 2-D bearing angles may be obtained via the eigen-decomposition of the DOA matrix. Without any spectral peak search, the resulting method, called the DOA matrix method, is computationally efficient with high resolution. A smoothed DOA Matrix is also presented to decorrelate coherent sources. The performance of the DOA matrix method is effectively demonstrated by computer simulations.

关 键 词：信号参量估计 波达方向矩阵法 谱分析 

分 类 号：TN911.23[电子电信—通信与信息系统]