Blind Separation of Multiple Sequences from a Single Linear Mixture Using Finite Alphabet

摘要：

In this paper, we propose an approach exploiting the relationship between the position of the clustering centers of the observed data and the mixing parameters to realize blind separation of multiple sequences, drawn from finite alphabet set, from a single linear mixture. In theory, we prove that the system estimation by the algorithm is optimum in the sense of least square (LS) by mathematical induction method. In the noise case, the simulation results show that the system estimation deteriorates smoothly with the increasing of noise variance.

作者: Fanglin Gu Hang Zhang Ning Li Wei Lu

作者单位: Institute of Communication Engineering PLAUST, Nanjing, China

会议类型: 国际会议

会议名称: 2010年无线通信与信号处理国际会议

会议地点: 上海

会议语种:英文

页码: 1-5

在线出版日期: 2010-10-20（万方平台首次上网日期，不代表论文的发表时间）