DocumentCode
1292951
Title
Improved LMS algorithm for adaptive beamforming
Author
Godara, Lal C.
Author_Institution
Dept. of Electr. Eng., Stanford Univ., CA, USA
Volume
38
Issue
10
fYear
1990
fDate
10/1/1990 12:00:00 AM
Firstpage
1631
Lastpage
1635
Abstract
Two adaptive algorithms which make use of all the available samples to estimate the required gradient are proposed and studied. The first algorithm is referred to as the recursive LMS (least mean squares) and is applicable for a general array. The second algorithm is referred to as the improved LMS algorithm and exploits the Toeplitz structure of the array correlation matrix and can be used only for an equispaced linear array
Keywords
antenna arrays; correlation methods; least squares approximations; signal processing; LMS; Toeplitz structure; adaptive algorithms; adaptive beamforming; antenna arrays; array correlation matrix; array processing; equispaced linear array; gradient estimation; improved least mean squares; recursive least mean squares; Adaptive algorithm; Adaptive arrays; Algorithm design and analysis; Array signal processing; Geometry; Helium; Least squares approximation; Least squares methods; Power measurement; Weight measurement;
fLanguage
English
Journal_Title
Antennas and Propagation, IEEE Transactions on
Publisher
ieee
ISSN
0018-926X
Type
jour
DOI
10.1109/8.59777
Filename
59777
Link To Document