Comparison of spatially smoothed weighted subspace methods

Author

Rao, Bhaskar D.

Author_Institution

Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA

fYear

1991

fDate

4-6 Nov 1991

Firstpage

903

Abstract

The performances of spatially smoothed weighted MUSIC and weighted state space methods/ESPRIT are analyzed, and compared for the direction of arrival (DOA) estimation problem. A key outcome of the analysis is the observation that, when a forward-backward spatially smoothed approach is used, optimally weighted MUSIC and optimally weighted state space methods/ESPRIT have identical asymptotic behavior. It is also shown that the forward-backward covariance matrix is better conditioned than the forward-only covariance matrix, providing additional justification for the use of the forward-backward approach. The analysis is shown to be extendable to the time-series frequency estimation problem, thereby providing a unified framework for dealing with DOA estimation and time-series frequency estimation

Keywords

matrix algebra; signal processing; DOA estimation; ESPRIT; asymptotic behavior; direction of arrival; forward-backward covariance matrix; spatially smoothed weighted subspace methods; time-series frequency estimation; weighted MUSIC; Bismuth; Covariance matrix; Direction of arrival estimation; Frequency estimation; Integrated circuit noise; Multiple signal classification; Performance analysis; Smoothing methods; State estimation; State-space methods;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1991. 1991 Conference Record of the Twenty-Fifth Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-2470-1

Type

conf

DOI

10.1109/ACSSC.1991.186577

Filename

186577