Genetic algorithm assisted minimum bit error rate beamforming

Author

Wolfgang, A. ; Ahmad, N.N. ; Chen, S. ; Hanzo, L.

Author_Institution

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

Volume

1

fYear

2004

fDate

17-19 May 2004

Firstpage

142

Abstract

A novel genetic algorithm (GA) assisted minimum bit error rate (MBER) beamforming technique is introduced. The performance of the proposed GAs is characterised by the probability density function (PDF) and the mean value of the achievable bit error rate (BER) at the beamformer´s output. The results are also compared to the theoretical bounds. It is shown that GAs are suitable for MBER beamforming and that a trade-off between the complexity of the GA and its robustness against system parameter variations can be found.

Keywords

adaptive antenna arrays; array signal processing; error statistics; genetic algorithms; PDF; adaptive antenna array weights; genetic algorithm; mean value; minimum BER beamforming technique; minimum bit error rate beamforming technique; probability density function; received reference signal; transmitted reference signal; wireless teletraffic; Adaptive arrays; Array signal processing; Bandwidth; Bit error rate; Cost function; Frequency; Genetic algorithms; Mean square error methods; Probability density function; Robustness;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th

ISSN

1550-2252

Print_ISBN

0-7803-8255-2

Type

conf

DOI

10.1109/VETECS.2004.1387929

Filename

1387929