A new FA property based genetic algorithm for improving source and channel estimates

Author

Ali, H. ; Doucet, A. ; Isa, D.

Author_Institution

Div. of Eng., Univ. of Nottingham (Malaysia Campus), Kuala Lumpur, Malaysia

fYear

2004

fDate

5-6 Oct. 2004

Firstpage

260

Lastpage

264

Abstract

We introduce a new genetic algorithm, which exploits the finite alphabet (FA) property to refine the estimates of information source symbols and channel estimates obtained by any identification algorithm. The new genetic source symbol refinement algorithm (GSR) is tested to cope with rapidly time-varying finite impulse response (FIR) channels with additive noise model. Computational results show that, as compared with recent sophisticated alternatives for the problem, it offers superior performance with reduced complexity.

Keywords

channel estimation; computational complexity; genetic algorithms; time-varying channels; FIR channels; additive noise model; channel estimation; channel identification; complexity; finite alphabet property; finite impulse response channels; genetic algorithm; genetic source symbol refinement algorithm; information source symbol estimation; source estimation; time-varying channels; Channel estimation; Cost function; Data communication; Finite impulse response filter; Genetic algorithms; Genetic engineering; Impulse testing; Intelligent systems; Quantization; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

RF and Microwave Conference, 2004. RFM 2004. Proceedings

Print_ISBN

0-7803-8671-X

Type

conf

DOI

10.1109/RFM.2004.1411121

Filename

1411121