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基于细菌觅食优化的盲信号提取算法*
引用本文:陈雷,张立毅,,郭艳菊,刘婷,李锵. 基于细菌觅食优化的盲信号提取算法*[J]. 计算机应用研究, 2012, 29(2): 451-454
作者姓名:陈雷  张立毅    郭艳菊  刘婷  李锵
作者单位:1. 天津商业大学信息工程学院,天津300134:天津大学电子信息工程学院,天津300072
2. 河北工业大学信息工程学院,天津,300130
3. 天津大学电子信息工程学院,天津,300072
基金项目:国家自然科学基金资助项目(60802049);天津市高校科技发展基金资助项目(20080710)
摘    要:提出了一种新的基于细菌觅食优化的盲信号提取算法。采用负熵作为信号提取的目标函数,利用球坐标变换原理将对提取向量的求解转换为对旋转角度的求解。使用改进的细菌觅食优化算法对目标函数进行优化求解,从而实现对源信号的盲提取。通过多次提取和去相关消源过程,可以实现对所有源信号的成功提取。对多路语音信号混合后的盲提取实验验证了所提出算法的有效性。

关 键 词:细菌觅食优化  盲信号提取  负熵  消源

Blind signal extraction algorithm based on bacterial foraging optimization
CHEN Lei , ZHANG Li-yi , GUO Yan-ju , LIU Ting , LI Qiang. Blind signal extraction algorithm based on bacterial foraging optimization[J]. Application Research of Computers, 2012, 29(2): 451-454
Authors:CHEN Lei    ZHANG Li-yi    GUO Yan-ju    LIU Ting    LI Qiang
Affiliation:1.School of Information Engineering,Tianjin University of Commerce,Tianjin 300134,China;2.School of Electronic Information Engineering,Tianjin University,Tianjin 300072,China;3.School of Information Engineering,Hebei University of Technology,Tianjin 300130,China)
Abstract:This paper proposed a new blind signal extraction algorithm based on bacterial foraging optimization. It used negentropy as the objective function for blind extraction and used spherical coordinates transformation principle for transforming extraction vector into rotation angle. Modified bacterial foraging optimization algorithm was used for optimizing the objective function and source signal could be extracted. All the source signal could be extracted successfully by using the process of extraction and deflation repetitively. Simulation result for speech signal blind extraction proves the validity of the blind extraction algorithm proposed.
Keywords:bacterial foraging optimization(BFO)   blind signal extraction   negentropy   deflation
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