New maximum likelihood approach to multiple signal estimation

Author

Lo, James Ting-Ho

Author_Institution

Dept. of Math., Maryland Univ., Catonsville, MD, USA

fYear

1988

fDate

11-14 Apr 1988

Firstpage

2889

Abstract

A novel approach is presented that greatly reduces the amount of computation for the maximum-likelihood estimation of the multiple signal arrival directions. The approach iterates a finite sequence of linear regression procedures and is therefore called cyclic regression. It is believed that cyclic regression requires much less computation than MUSIC. Being very versatile, the approach can effectively handle array sensor uncertainties

Keywords

filtering and prediction theory; signal detection; MUSIC; array sensor uncertainties; cyclic regression; linear regression; maximum likelihood approach; multiple signal arrival directions; multiple signal estimation; Additive noise; Covariance matrix; Degradation; Linear regression; Mathematics; Maximum likelihood estimation; Multiple signal classification; Sensor arrays; Transmission line matrix methods; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.197257

Filename

197257

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3009152