Broadband Angle of Arrival Estimation Methods in a Polynomial Matrix Decomposition Framework

被引：0

作者：

Weiss, Stephan ^{[1
]}

Alrmah, Mohamed ^{[1
]}

Lambotharan, Sangarapillai

McWhirter, John G.

Kaveh, Mostafa

机构：

[1] Univ Strathclyde, Dept Elect & Elect Engn, Glasgow G1 1XW, Lanark, Scotland

来源：

2013 IEEE 5TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP 2013) | 2013年

基金：

英国工程与自然科学研究理事会;

关键词：

FOCUSING MATRICES; ALGORITHM;

D O I：

暂无

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

A large family of broadband angle of arrival estimation algorithms are based on the coherent signal subspace (CSS) method, whereby focussing matrices appropriately align covariance matrices across narrowband frequency bins. In this paper, we analyse an auto-focussing approach in the framework of polynomial covariance matrix decompositions, leading to comparisons to two recently proposed polynomial multiple signal classification (MUSIC) algorithms. The analysis is complemented with numerical simulations.

引用

页码：109 / +

页数：2

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