Blind linear channel estimation using genetic algorithm and SIMO model
Signal Processing
Robust joint channel and noise estimation in Bayesian blind equalizers
Signal Processing
An evolutionary approach for joint blind multichannel estimation and order detection
EURASIP Journal on Applied Signal Processing
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An important family of blind equalization algorithms identify a communication channel model based on fitting higher order cumulants, which poses a nonlinear optimization problem. Since higher order cumulant-based criteria are multimodal, conventional gradient search techniques require a good initial estimate to avoid converging to local minima. We present a novel scheme which uses genetic algorithms to optimize the cumulant fitting cost function. A microgenetic algorithm implementation is adopted to further enhance computational efficiency. As is demonstrated in computer simulation, this scheme is robust and accurate and has a fast convergence performance