URV ESPRIT FOR TRACKING TIME-VARYING SIGNALS

被引：25

作者：

LIU, KJR

OLEARY, DP

STEWART, GW

WU, YJJ

机构：

[1] UNIV MARYLAND, INST SYST RES, COLLEGE PK, MD 20742 USA

[2] UNIV MARYLAND, DEPT COMP SCI, COLLEGE PK, MD 20742 USA

[3] UNIV MARYLAND, INST ADV COMP STUDIES, COLLEGE PK, MD 20742 USA

[4] UNIV MARYLAND, APPL MATH PROGRAM, COLLEGE PK, MD 20742 USA

来源：

IEEE TRANSACTIONS ON SIGNAL PROCESSING | 1994年 / 42卷 / 12期

基金：

美国国家科学基金会;

关键词：

D O I：

10.1109/78.340778

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

ESPRIT is an algorithm for determining the fixed directions of arrival of a set of narrowband signals at an array of sensors. Unfortunately, its computational burden makes it unsuitable for real time processing of signals with time-varying directions of arrival. In this work we develop a new implementation of ESPRIT that has potential for real time processing. It is based on a rank-revealing URV decomposition, rather than the eigendecomposition or singular value decomposition used in previous ESPRIT algorithms. We demonstrate its performance on simulated data representing both constant and time-varying signals. We find that the URV-based ESPRIT algorithm is effective for estimating time-varying directions-of-arrival at considerable computational savings over the SVD-based algorithm.

引用

页码：3441 / 3448

页数：8

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