Title :
Structured gradient method applied to circular arrays
Author :
Morse, James H., Jr.
Author_Institution :
Iowa State Univ., Ames, IA, USA
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;
Conference_Titel :
Signals, Systems, and Computers, 1999. Conference Record of the Thirty-Third Asilomar Conference on
Print_ISBN :
0-7803-5700-0
DOI :
10.1109/ACSSC.1999.832382
