收稿日期: 2013-07-10
修回日期: 2013-10-17
网络出版日期: 2014-07-15
基金资助
国家自然科学基金（61203245，11127202）资助
A blind source separation algorithm based on nonlinear function and simple particle swarm optimization
Received date: 2013-07-10
Revised date: 2013-10-17
Online published: 2014-07-15
贾志成 , 王娜娜 , 陈雷 , 张艳 . 基于非线性函数和简化粒子群优化的盲源分离算法[J]. 中国科学院大学学报, 2014 , 31(4) : 530 -536 . DOI: 10.7523/j.issn.2095-6134.2014.04.013
A new blind source separation algorithm based on nonlinear function and simple particle swarm optimization was proposed, contraposing limitation problems for the source signal types and gaussian signal numbers. Nonlinear function was used as objective function based on source signal types, and then the simple particle swarm optimization was uesd to optimize the function. Simulation results show that the algorithm achieves the efficient separation for the blind source having various types of source signals and containing two gaussian signals. Compared with other algorithms, the proposed algorithm has fast convergence speed and high separation accuracy.
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