DocumentCode
2802535
Title
Blind adaptive beamforming algorithms based on the extreme eigenvalue problem
Author
Seungwon Choi ; Dongun Yun ; Hyunbae Lee
Author_Institution
Dept. of Electron. Commun., Hanyang Univ., Seoul, South Korea
Volume
4
fYear
1997
fDate
13-18 July 1997
Firstpage
2418
Abstract
The authors present adaptive algorithms for the array antenna system to generate the weight vector which provides the beampattern having its main lobe along the direction of the mobile target subscriber at each snapshot. Three algorithms are introduced, i.e., the CGM (conjugate gradient method), Lagrange multiplier-method, and power series method. Each algorithm has been modified in such a way that the suboptimal weight vector can be produced with a reasonably small computational load for the real-time processing of signals with an off the shelf DSP (digital signal processor). The performance of each algorithm is demonstrated in terms of the improvements in SINR (signal to interference+noise ratio) for a given number of antenna elements.
Keywords
direction-of-arrival estimation; CGM; Lagrange multiplier-method; SINR; TMS320C30; algorithm performance; antenna elements; array antenna system; beampattern; blind adaptive beamforming algorithms; computational load; conjugate gradient method; digital signal processor; extreme eigenvalue problem; main lobe; mobile target subscriber direction; off the shelf DSP; power series method; real-time signal processing; signal to interference plus noise ratio; snapshot; suboptimal weight vector; weight vector generation; Adaptive algorithm; Adaptive arrays; Antenna arrays; Array signal processing; Directive antennas; Gradient methods; Lagrangian functions; Mobile antennas; Signal processing algorithms; User-generated content;
fLanguage
English
Publisher
ieee
Conference_Titel
Antennas and Propagation Society International Symposium, 1997. IEEE., 1997 Digest
Conference_Location
Montreal, Quebec, Canada
Print_ISBN
0-7803-4178-3
Type
conf
DOI
10.1109/APS.1997.625458
Filename
625458
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