An adaptive ESPRIT based on URV decomposition

Author

Liu, K.J.R. ; O´Leary, D.P. ; Stewart, G.W. ; Wu, Y.-J.J.

Author_Institution

Maryland Univ., College Park, MD, USA

Volume

4

fYear

1993

fDate

27-30 April 1993

Firstpage

37

Abstract

ESPRIT is an algorithm for determining the fixed directions of arrival of a set of narrowband signals at an array of sensors. 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 (SVD) used in previous ESPRIT algorithms. Its performance is demonstrated on simulated data representing both constant and time-varying signals. It is shown 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

adaptive filters; array signal processing; computational complexity; parameter estimation; real-time systems; time-varying systems; URV-based ESPRIT algorithm; array of sensors; computational savings; performance; rank-revealing URV decomposition; real-time processing;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1993. ICASSP-93., 1993 IEEE International Conference on

Conference_Location

Minneapolis, MN, USA

ISSN

1520-6149

Print_ISBN

0-7803-7402-9

Type

conf

DOI

10.1109/ICASSP.1993.319588

Filename

319588