基于ICA的混合调制信号的盲分离  

Blind separation of mixed modulation signals based on independent component analysis

作　　者：宋伟伟[1] 谢胜曙[1] 何怡刚[1] 刘慧[1] 

机构地区：[1]湖南大学电气与信息工程学院,长沙410082

出　　处：《微计算机信息》2010年第33期61-62,92,共3页Control & Automation

摘　　要：介绍了一种用于混合调制信号分离的独立分量分析方法(ICA)。本文使用以最大似然函数作为估计输出分量之间统计独立的目标函数,通过优化该目标函数,得到独立分量分析(ICA)的迭代算法,并给出了利用此算法的ICA实现步骤。实验结果表明,利用独立分量分析能成功地分离出各个调制信号。An independent component analysis applied to mixed modulation signals is introduced. In the paper, Maximum likelihood is used as the objective function which estimates statistical independence between output components. An iterative algorithm of independent component analysis is deprived by optimizing the objective function. And the steps of ICA have been given. The experiment has shown that this algorithm can successfully separates each modulation signals from the mixed signals.

关 键 词：盲信号分离 独立分量分析 调制信号 

分 类 号：TN911[电子电信—通信与信息系统]