基于二次裂变粒子群算法的盲信号分离  

The Blind Source Separation Based on Particle Swarm Optimization Algorithm of the Secondary Fission

作　　者：邵明省[1] 张思维[2] 

机构地区：[1]鹤壁职业技术学院电信系,河南鹤壁458030 [2]黄淮学院电子科学与工程系,河南驻马店463000

出　　处：《压电与声光》2012年第1期158-162,共5页Piezoelectrics & Acoustooptics

摘　　要：针对粒子群算法对盲信号分离存在的问题,提出二次裂变技术。首先将粒子集中的权值按照逐渐递减顺时针的进行排序,减少搜索算法的时间开销;接着选取一定数目大权值的粒子进行裂变繁殖,繁殖后再生的粒子自粒子集权值的低端逆时针依次覆盖原小权值的粒子,数目正比于原来的粒子群;最后对第二次裂变的数目判断,进行相应扩展或者收缩运算。实验仿真结果表明:二次裂变粒子群算法具有分离效果好、收敛速度快的优点。In view of the defects of the particle swarm optimization（PSO） algorithm to the blind source separation（BSS）,the secondary fission technique was proposed in this paper.First,the particle pooled weight value was sorted by the rule of clockwise declining gradually to lower the time cost of the searching algorithm.Then the large weight value particles with certain numbers were selected to carry out the particle reproduction by fission.The reproduced particles anti-clockwise covered the original particles with small weight value from the particle pool at low end,which the number of the particle was directly proportional to the original particle swarm.Finally,the second fission particle numbers were distinguished to carry out the corresponding contraction operation or extended operation.The experimental simulation results showed that the particle swarm optimization（PSO） algorithm of the secondary fission had the advantages of good separation effects and fast convergence.

关 键 词：大权值 二次裂变 收缩因子 

分 类 号：TN911[电子电信—通信与信息系统]