An Orthogonal Wavelet Transform Blind Equalization Algorithm Based on the Optimization of Immune Clone Particle Swarm

Abstract

On the basis of the analyzing the futures of particle swarm algorithm, orthogonal wavelet transform constant modulus blind equalization algorithm (WTCMA), and immune clone algorithm, an orthogonal wavelet transform constant modulus blind equalization algorithm based on the immune clone particle swarm optimization is proposed. In this proposed algorithm, the diversity of population in particle swarm algorithm is effectively regulated via the immune clone operation after introducing the immune clone algorithm into particle swarm optimization. Therefore, the local extreme points and the premature convergence caused by the diversity variation of population in the evolution late of the particle swarm algorithm are avoided and the global search capability of particle swarm optimization algorithm is improved. So, the proposed algorithm has fastest convergence rate and smallest mean square error. The performance of the proposed algorithm is proved by computer simulation in underwater acoustic channels.