Blind Equalization Algorithm of Variable Segment Error Function Based on Catfish Effect Particle Swarm Optimization

doi:10.16182/j.issn1004731x.joss.201809042

Abstract

Abstract: In order to overcome the disadvantage of the slow convergence rate and big steady state error of constant modulus algorithm (CMA), a variable segment error constant modulus blind equalization algorithm based on the catfish effect particle swarm optimization algorithm (CEPSO-VSCMA) is proposed. The algorithm introduces catfish effect particle swarm optimization on the base of VSCMA, finding the globally optimal solution with the global searching of particle swarm. Meanwhile, vibrant and competitive catfish individual are employed to reactivate particle swarm and accelerate convergence. The simulation results show that the proposed algorithm performs better in improving convergence rate, decreasing inter-symbol interference with CMA, VSCMA and PSO-VSCMA.

Key words: particle swarm optimization algorithm, CMA, catfish effect, variable segment error function

CLC Number:

TN991.5

Guo Yecai, Wu Jiping. Blind Equalization Algorithm of Variable Segment Error Function Based on Catfish Effect Particle Swarm Optimization[J]. Journal of System Simulation, 2018, 30(9): 3558-3563.

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