On least squares methods for direction of arrival estimation in the presence of unknown noise fields

Author

Böhme, J.F. ; Kraus, D.

Author_Institution

Lehrstuhl fur Signaltheorie, Ruhr-Univ. Bochum, West Germany

fYear

1988

fDate

11-14 Apr 1988

Firstpage

2833

Abstract

The direction-of-arrival estimation of signal wavefronts in the presence of unknown noise fields is investigated. Generalizations of known criteria for both conditional and nonconditional maximum-likelihood estimates are developed. Numerical calculations show that the usual Gauss-Newton iteration for conditional maximum-likelihood estimates cannot give good results. Therefore, a related, relatively simple two-step least-squares estimate is constructed. Results of numerical experiments are presented and indicate that the two-step estimate has approximately the same power as the least-squares estimate using the exact noise correlation structure

Keywords

least squares approximations; signal detection; Gauss-Newton iteration; correlation; direction of arrival estimation; least squares methods; maximum-likelihood estimates; signal detection; unknown noise fields; Additive noise; Data models; Direction of arrival estimation; Frequency estimation; Least squares approximation; Least squares methods; Maximum likelihood estimation; Newton method; Parameter estimation; Recursive estimation;

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.1988.197242

Filename

197242