DocumentCode :
1460133
Title :
A least squares approach to blind beamforming
Author :
Wax, Mati ; Anu, Yosef
Author_Institution :
RAFAEL, Haifa, Israel
Volume :
47
Issue :
1
fYear :
1999
fDate :
1/1/1999 12:00:00 AM
Firstpage :
231
Lastpage :
234
Abstract :
We present a least squares approach to blind beamforming. Two estimation criteria are derived. One turns out to coincide with the Comon (1990, 1994) criterion, whereas the other is a computationally simpler criterion similar in nature to the joint approximate diagonalization of eigenmatrices (JADE) criterion
Keywords :
array signal processing; direction-of-arrival estimation; least mean squares methods; matrix algebra; Comon criterion; JADE criterion; array directional response matrix; array signal processing; blind beamforming; cumulant matrix; estimation criteria; joint approximate diagonalization of eigenmatrices; least squares approach; Array signal processing; Band pass filters; Chebyshev approximation; Delay; Digital filters; Frequency; IIR filters; Least squares methods; Passband; Signal processing;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.738261
Filename :
738261
Link To Document :
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