Adaptive Minimum Entropy Blind Equalization Algorithm Based on Quantum Artificial Fish Swarm Optimization

Authors

Yecai Guo, 1. Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science & Technology, Nanjing 210044, China;;2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment, Nanjing University of Information Science & Technology, Nanjing 210044, China;;
Wu Xing, 1. Jiangsu Key Laboratory of Meteorological Observation and Information Processing, Nanjing University of Information Science & Technology, Nanjing 210044, China;;
Huang Wei, 3. School of Electrical & Information Engineering, Anhui University of Science & Technology, Huainan 232001, China;;
Wang Hui, 2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment, Nanjing University of Information Science & Technology, Nanjing 210044, China;;

Abstract

Abstract: In order to improve the equalization performance of high order inconstant modulus signals, adaptive minimum entropy super-exponential iteration blind equalization algorithm based on quantum artificial fish swarm optimization was proposed. The proposed algorithm could accelerate convergence rate via super-exponential iteration algorithm and could further decease the mean square error of the super-exponential iteration adaptive minimum entropy blind equalization algorithm via using the global optimization of the quantum artificial fish swarm algorithm designed by Schrodinger equation. The simulation results demonstrate that the proposed algorithm has fast convergence rate and lower mean square error for different higher modulation signals comparison with adaptive minimum entropy blind equalization algorithm and super-exponential iteration adaptive minimum entropy blind equalization algorithm.

Recommended Citation

Guo, Yecai; Xing, Wu; Wei, Huang; and Hui, Wang (2020) "Adaptive Minimum Entropy Blind Equalization Algorithm Based on Quantum Artificial Fish Swarm Optimization," Journal of System Simulation: Vol. 28: Iss. 2, Article 27.
Available at: https://dc-china-simulation.researchcommons.org/journal/vol28/iss2/27

First Page

449

Revised Date

2015-01-01

DOI Link

https://doi.org/

Last Page

454

CLC

TN911.7

Recommended Citation

Guo Yecai, Wu Xing, Huang Wei, Wang Hui. Adaptive Minimum Entropy Blind Equalization Algorithm Based on Quantum Artificial Fish Swarm Optimization[J]. Journal of System Simulation, 2016, 28(2): 449-454.