DocumentCode
1289880
Title
A least-squares approach to joint diagonalization
Author
Wax, Mati ; Sheinvald, Jacob
Author_Institution
RAFAEL, Haifa, Israel
Volume
4
Issue
2
fYear
1997
Firstpage
52
Lastpage
53
Abstract
We present a new least-squares-based approach for the joint diagonalization problem arising in blind beamforming. The resulting estimation criterion turns out to coincide with that proposed by Cardoso and Souloumaic (see IEE Proc. F, Radar Signal Process., vol.140, no.6, p.362-70, Dec. 1993) on intuitive grounds, thus establishing the optimality of their criterion in the least-squares (LS) sense.
Keywords
array signal processing; higher order statistics; least squares approximations; matrix algebra; parameter estimation; array processing; blind beamforming; cumulant matrices; estimation criterion; joint diagonalization; least-squares approach; optimality; Array signal processing; Gaussian noise; Higher order statistics; Jacobian matrices; Least squares approximation; Random processes; Yield estimation;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/97.554471
Filename
554471
Link To Document