DocumentCode :
3439395
Title :
Average filtered blind separation of DS-CDMA signals with ICA method
Author :
Yu, Miao ; Chen, Jianzhong ; Li, Shiju
Author_Institution :
Nanjing Telecommun. Technol. Inst., Nanjing, China
fYear :
2010
fDate :
25-27 June 2010
Firstpage :
234
Lastpage :
237
Abstract :
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.
Keywords :
Communication systems; Frequency; Independent component analysis; Information filtering; Information filters; Multiaccess communication; Principal component analysis; Random sequences; Signal to noise ratio; Spread spectrum communication; DS-CDMA; ICA; average filter; blind separation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communications, Networking and Information Security (WCNIS), 2010 IEEE International Conference on
Conference_Location :
Beijing, China
Print_ISBN :
978-1-4244-5850-9
Type :
conf
DOI :
10.1109/WCINS.2010.5541927
Filename :
5541927
Link To Document :
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