Title
Alternating projection for maximum-likelihood source localization using eigendecomposition
Abstract
Alternating projection allows us to make 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.
Year
DOI
Venue
1999
10.1109/97.752057
IEEE Signal Processing Letters
Keywords
Field
DocType
array signal processing, maximum likelihood, source localization
Mathematical optimization,Pattern recognition,Maximum likelihood,Projection method,Source localization,Eigendecomposition of a matrix,Artificial intelligence,Estimation theory,Maximum likelihood sequence estimation,Mathematics,Computational complexity theory
Journal
Volume
Issue
ISSN
6
4
1070-9908
Citations 
PageRank 
References 
2
0.39
2
Authors
1
Name
Order
Citations
PageRank
Yang-Ho Choi1336.66