Super Exponential Iteration Adaptive Minimum Entropy Blind Equalization Algorithm Based on Quantum Artificial Fish Swarm Optimization
Ye Cai Guo, Wei Huan, Li Fu Wu, Ke Cheng Leng · Advanced materials research · 2013
In order to improve equalization performance of higher-order non-constant modulus signals, adaptive minimum entropy super-exponential iteration blind equalization algorithm based on quantum artificial fish swarm optimization was proposed. The proposed algorithm can accelerate convergence rate via super-exponential iteration algorithm and decease mean square error (MSE) further via quantum artificial fish swarm algorithm. The simulation results demonstrate that the proposed algorithm has different equalization performance to the different modulation systems and can speed up convergence rate and decrease state MSE.