Average Filtered Blind Separation of DS-CDMA Signals with ICA Method

摘要：

In DS-CDMA system, the pseudo random sequences are none correlation and the information sequences of different user’s are independent, thus Independent Component Analysis (ICA) is appropriate for the blind separate the DS-CDMA signals with little prior knowledge. Original blind separation method of DS-CDMA signals with ICA utilized only one sample value in each chip. However, in common DS-CDMA communication systems, the sample rate is much faster than the chip rate, so there are many samples during a chip interval. A method of average filtered blind separation of DS-CDMA signals with ICA is proposed in this paper. When noise is stationary, the method proposed could increase the input SNR of ICA greatly. The validity of the method is proved by the simulation results at last.

关键词： ICA DS-CDMA average filter blind separation

作者: Miao Yu Jianzhong Chen Shiju Li

作者单位: Nanjing Telecommunication Technology Institute Nanjing, 210007, P.R.China Dept. of ISEE, Zhejiang University, Hangzhou, 310027, P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE International Conference Conferenhce on Wireless Communications,Networking and Information Security(2010 IEEE 无线通信、网络技术与信息安全国际会议 WCNIS)

会议地点: 北京

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-25（万方平台首次上网日期，不代表论文的发表时间）