基于独立分量分析的成对载波多址分离新算法  

Separation algorithm of paired carrier multiple access based on independent component analysis

作　　者：万坚[1] 许华[1] 朱中梁[1] 

机构地区：[1]信号盲处理国防科技重点实验室,四川成都610041

出　　处：《通信学报》2006年第8期41-44,共4页Journal on Communications

摘　　要：在介绍卫星新技术——PCMA(成对载波多址)技术的基础上,提出了基于ICA(独立分量分析)的新算法用来分离卫星PCMA的下行混合信号。这种基于负熵最大准则的新算法较好地克服了以往算法中的缺陷:PCMA的两个上行信号功率不能相差太大。经过计算机仿真证明了新算法的有效性。Based on the introduction of paired carrier multiple access（PCMA） technology, a new algorithm was proposed to separate the satellite PCMA downlink mixed signals with independent component analysis（ICA）. The new algorithm utilized maximum negentropy as the separating criterion which could overcome the limitation that the power of two uplink signals could not be different too much. The computer simulations testified the validity of the algorithm.

关 键 词：盲分离 PCMA ICA 负熵最大准则 

分 类 号：TN911.7[电子电信—通信与信息系统]