A real-valued adaptive eigencomponents updated algorithm for beamforming

Author

Chang, Lena

Author_Institution

Dept. of Merchant Marine, Nat. Taiwan Ocean Univ., Taiwan

Volume

3

fYear

1994

fDate

14-18 Nov 1994

Firstpage

897

Abstract

We consider a symmetrically distributed antenna array and develop an efficient real-valued adaptive algorithm to adjust the eigencomponents of the correlation matrix by an iterative technique. The iterative technique can alleviate the computation burden in the eigendecomposition. The proposed algorithm requires only O(M) real multiplications in each iteration and can converge faster than the LMS-type algorithms. Moreover, the proposed algorithm is applied to design the weight vector of the eigenspace-based beamformer. Simulation results confirm the performance improvement of the proposed eigencomponents updated algorithm

Keywords

adaptive antenna arrays; adaptive signal processing; array signal processing; convergence of numerical methods; correlation methods; eigenvalues and eigenfunctions; iterative methods; matrix algebra; convergence; correlation matrix; eigencomponents updated algorithm; eigenspace-based beamformer; iterative technique; multiplications; performance; real-valued adaptive algorithm; real-valued adaptive eigencomponents; simulation results; symmetrically distributed antenna array; weight vector design; Adaptive algorithm; Adaptive arrays; Algorithm design and analysis; Antenna arrays; Approximation algorithms; Array signal processing; Convergence; Iterative algorithms; Maximum likelihood estimation; Symmetric matrices;

fLanguage

English

Publisher

ieee

Conference_Titel

Singapore ICCS '94. Conference Proceedings.

Print_ISBN

0-7803-2046-8

Type

conf

DOI

10.1109/ICCS.1994.474275

Filename

474275