URV ESPRIT for tracking time-varying signals

Author

Liu, K. J Ray ; O´Leary, Dianne P. ; Stewart, G.W. ; Wu, Yuan-Jye J.

Author_Institution

Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA

Volume

42

Issue

12

fYear

1994

fDate

12/1/1994 12:00:00 AM

Firstpage

3441

Lastpage

3448

Abstract

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. The authors 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. The authors demonstrate its performance on simulated data representing both constant and time-varying signals. They 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

Keywords

direction-of-arrival estimation; real-time systems; time-varying systems; tracking; URV ESPRIT; fixed directions of arrival; narrowband signals; performance; rank-revealing URV decomposition; real time processing; time-varying signals; tracking; Covariance matrix; Direction of arrival estimation; Mathematics; Matrix decomposition; Multiple signal classification; Narrowband; Sensor arrays; Signal processing; Signal processing algorithms; Singular value decomposition;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.340778

Filename

340778