Orthogonal wavelet transform blind equalization algorithm based on artificial fish swarm optimization of mutation operator and simulated annealing
模拟退火与人工鱼群变异优化的小波盲均衡算法

According to disadvantage of the poor local search and premature phenomena of artificial fish swarm algorithm AFSA, AFSA was integrated with mutation operator in order to maintain the population diversity and restrain premature phenomena, it proposed while AFSA was combined with simulated annealing to enhance local search capability and hybrid artificial fish swarm algorithm optimization of mutation operator and simulated annealing. It initialized weight vector of blind equalizer by the algorithm, this paper proposed an orthogonal wavelet transform fractionally spaced blind equalization algorithm based on hybrid artificial fish swarm optimization of mutation operator and simulated annealing. Simulations in underwater acoustic channel demonstrate the proposed algorithm can speed up convergence and decrease state error.