电讯技术2016，Vol.56Issue(6)：675-680,6.DOI:10.3969/j.issn.1001-893x.2016.06.014
基于自适应惯性权重粒子群优化的多跳频信号盲源分离
Blind Source Separation of Multi-frequency-hopping Signals Based on Adaptive Inertia Weight PSO Algorithm
摘要
Abstract
An adaptive inertia weight particle swarm optimization ( PSO ) based blind source separation method is proposed for multi-frequency-hopping signals in frequency hopping communication. This algo-rithm takes the negentropy of mixtures as an objective function to analyze the motion of each particle. After each iteration,the inertia weight of each particle is adjusted adaptively,according to the difference between the former fitness value and latter of each particle iteration. The particle’ s inertia weights are reset to zero, whose fitness value has become worse. The adverse effects of particle’ s inertia component on separation can be eliminated in the next iteration. It can reduce the number of invalid iterations,achieve blind source sep-aration and accelerate convergence speed. When applied to blind source separation, it is better than the classical algorithms and overcomes the select problem of the activation function. Simulation results show that the proposed method can make the performance stable and achieve rapid convergence in multi-frequency-hopping signal separation. Compared with the classical algorithms,this algorithm has advantage obviously. It has a certain reference value for the study of intelligent algorithm in blind source separation field.关键词
多跳频信号/盲源分离/自适应惯性权重/粒子群算法Key words
multi-frequency-hopping signals/blind source separation/adaptive inertia weight/particle swarm optimization algorithm分类
信息技术与安全科学引用本文复制引用
马宝泽,张天骐,江晓磊,赵军桃..基于自适应惯性权重粒子群优化的多跳频信号盲源分离[J].电讯技术,2016,56(6):675-680,6.基金项目
国家自然科学基金资助项目(61371164,61275099) （61371164,61275099）
信号与信息处理重庆市重点实验室建设项目(CSTC2009CA2003) （CSTC2009CA2003）
重庆市杰出青年基金项目(CSTC2011jjjq40002) （CSTC2011jjjq40002）
重庆市教育委员会科研项目(KJ130524) （KJ130524）
重庆市研究生科研创新项目(CYS14140)@@@@The National Natural Science Foundation of China(No.61371164,61275099) （CYS14140）
The Project of Chongqing Key Laboratory of Sig-nal and Information Processing(CSTC2009CA2003) （CSTC2009CA2003）
The Chongqing Distinguished Youth Fundation(CSTC2011jjjq40002) （CSTC2011jjjq40002）
The Research Project of Chongqing Educational Commission ( KJ130524) （ KJ130524）
Graduate Research and Innovation Projects of Chongqing(CYS14140) （CYS14140）
