DocumentCode
926390
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
Volume
40
Issue
5
fYear
2004
fDate
3/4/2004 12:00:00 AM
Firstpage
320
Lastpage
322
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;
fLanguage
English
Journal_Title
Electronics Letters
Publisher
iet
ISSN
0013-5194
Type
jour
DOI
10.1049/el:20040229
Filename
1273957
Link To Document