Title :
Genetic algorithm assisted error probability optimisation for beamforming
Author :
Wolfgang, A. ; Ahmad, N.N. ; Chen, S. ; Hanzo, L.
Author_Institution :
Sch. of ECS, Univ. of Southampton, UK
fDate :
3/4/2004 12:00:00 AM
Abstract :
A novel genetic algorithm (GA) assisted direct error probability optimisation technique is proposed for adaptive beamforming, which reduces the achievable error probability by nearly two orders of magnitude at a signal-to-noise ratio of 10 dB in the investigated scenario in comparison to the minimum mean-squared error beamforming benchmarker.
Keywords :
array signal processing; error statistics; genetic algorithms; least mean squares methods; adaptive beamforming; beamforming benchmarker; direct error probability optimisation; genetic algorithm; minimum mean-squared error; signal-to-noise ratio;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20040229
