Genetic algorithm assisted adaptive beamforming

Author

Vitale, M. ; Vesentini, G. ; Ahmad, N.N. ; Hanzo, L.

Author_Institution

Dept. of Electron. & Comput. Sci., Southampton Univ., UK

Volume

1

fYear

2002

fDate

2002

Firstpage

601

Abstract

Genetic algorithm (GA) assisted beamforming techniques are proposed as an alternative to conventional beamforming algorithms. The design of the corresponding GAs is highlighted and the achievable performance is characterised in terms of the signal-to-interference ratio (SIR) and the signal-to-interference-plus-noise ratio (SINR). It is demonstrated that an attractive SINR versus complexity trade-off is achievable by the proposed GA-assisted beamformers, provided that the GA parameters are appropriately chosen.

Keywords

adaptive antenna arrays; array signal processing; cochannel interference; computational complexity; genetic algorithms; interference suppression; GA parameters; SINR maximization; SIR maximization; adaptive antenna array; adaptive beamforming; cochannel interference reduction; genetic algorithm; signal-to-interference ratio; signal-to-interference-plus-noise ratio; weight optimisation; Adaptive arrays; Antenna arrays; Array signal processing; Constraint optimization; Frequency; Genetic algorithms; Receiving antennas; Signal design; Signal processing; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2002. Proceedings. VTC 2002-Fall. 2002 IEEE 56th

ISSN

1090-3038

Print_ISBN

0-7803-7467-3

Type

conf

DOI

10.1109/VETECF.2002.1040415

Filename

1040415