Blind separation of PCMA signals based on improved particle filter algorithm

Abstract

For the problem of particle degradation and depletion in the blind separation of particle filter algorithm, particle swarm optimization algorithm and genetic algorithm are used to improve the traditional PCMA blind separation algorithm based on particle filter. The improved algorithm uses particle swarm optimization algorithm to optimize the particle and uses genetic algorithm to resample the particle. It can maintain the diversity of particles and reduce the problem of particle degradation and dilution effectively. The simulation shows that the improved blind separation algorithm has better separation performance.