Genetic algorithms for adaptive phase equalization of minimum phase SAW filters

Abstract

This paper investigates the capability of the genetic algorithm to achieve convergence to the global minimum for a multi-section all-pass IIR adaptive filter used for digital receiver phase equalization. The effect of population size and mutation rate on the performance of the algorithm is considered. Adaptive crossover and mutation probabilities are used to improve the performance of the algorithm.