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
Link To Document :
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