Title :
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
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;
Conference_Titel :
RF and Microwave Conference, 2004. RFM 2004. Proceedings
Print_ISBN :
0-7803-8671-X
DOI :
10.1109/RFM.2004.1411121
