Blind Adaptive Equalizer Based on Genetic Algorithms

Caroline Albuquerque Dantas SilvaMarcelo Augusto Costa Fernandes

This paper presents a proposal for a blind equalization based on geneticalgorithms applied to digital communication systems. Differently the solutionspresented in the literature, the proposed scheme uses a linear programmingbased modeling and this approach allows a simplification of the cost functionby improving the performance of the genetic algorithm. Simulation results forvarious digital communication systems are showed through the bit error rateperformance curves. In particular, it is observed a good convergence characteristicand a good accuracy of the method.

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