Alternating projection for maximum-likelihood source localization using eigendecomposition

Author

Choi, Yang-Ho

Author_Institution

Sch. of Inf. & Commun. Eng., Dongyang Univ., Kyungbook, South Korea

Volume

6

Issue

4

fYear

1999

fDate

4/1/1999 12:00:00 AM

Firstpage

73

Lastpage

75

Abstract

Alternating projection allows us to make a maximum-likelihood estimation of arrival angles by one-dimensional search. In this letter, we propose an eigendecomposition-based alternating projection method that can greatly reduce computational complexity with no performance degradation as compared with the direct alternating projection. In the proposed method, initial estimation can be readily performed with MUSIC, which may lead to further reduction in the computational burden.

Keywords

array signal processing; computational complexity; direction-of-arrival estimation; eigenvalues and eigenfunctions; maximum likelihood estimation; search problems; MUSIC; alternating projection; arrival angles; computational complexity; eigendecomposition; maximum-likelihood estimation; maximum-likelihood source localization; one-dimensional search; performance; Array signal processing; Computational complexity; Cost function; Covariance matrix; Degradation; Maximum likelihood estimation; Multidimensional signal processing; Multidimensional systems; Multiple signal classification; Sensor arrays;

fLanguage

English

Journal_Title

Signal Processing Letters, IEEE

Publisher

ieee

ISSN

1070-9908

Type

jour

DOI

10.1109/97.752057

Filename

752057