Title :
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
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;
Conference_Titel :
Vehicular Technology Conference, 2004. VTC 2004-Spring. 2004 IEEE 59th
Print_ISBN :
0-7803-8255-2
DOI :
10.1109/VETECS.2004.1387929
