DocumentCode
3567139
Title
Structured gradient method applied to circular arrays
Author
Morse, James H., Jr.
Author_Institution
Iowa State Univ., Ames, IA, USA
Volume
1
fYear
1999
Firstpage
511
Abstract
A constrained least mean square (LMS) algorithm was adapted by Godara and Gray (1989) to take advantage of the Toeplitz nature of the array correlation matrix (ACM). This algorithm, which they termed the structured gradient method, was shown to have superior convergence properties, as well as reduced weight noise. This paper explores the nature of the ACM for a circular array and the structured gradient algorithm is adapted and tested. The convergence properties and computational expense are investigated.
Keywords
Toeplitz matrices; antenna arrays; antenna radiation patterns; computational complexity; convergence of numerical methods; gradient methods; least mean squares methods; ACM; LMS algorithm; array correlation matrix; circular arrays; computational expense; constrained least mean square algorithm; convergence properties; structured gradient method; Adaptive arrays; Autocorrelation; Convergence; Gradient methods; Least squares approximation; Noise reduction; Phased arrays; Power generation; Propagation delay; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
ISSN
1058-6393
Print_ISBN
0-7803-5700-0
Type
conf
DOI
10.1109/ACSSC.1999.832382
Filename
832382
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