An application of independent component analysis to DS-CDMA communications systems
被引:0
作者:
Durán, I
论文数: 0引用数: 0
h-index: 0
机构:
Univ Seville, Signal Proc & Commun Grp, Seville, SpainUniv Seville, Signal Proc & Commun Grp, Seville, Spain
Durán, I
[1
]
Cruces, S
论文数: 0引用数: 0
h-index: 0
机构:
Univ Seville, Signal Proc & Commun Grp, Seville, SpainUniv Seville, Signal Proc & Commun Grp, Seville, Spain
Cruces, S
[1
]
Crespo, C
论文数: 0引用数: 0
h-index: 0
机构:
Univ Seville, Signal Proc & Commun Grp, Seville, SpainUniv Seville, Signal Proc & Commun Grp, Seville, Spain
Crespo, C
[1
]
Reina, J
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h-index: 0
机构:
Univ Seville, Signal Proc & Commun Grp, Seville, SpainUniv Seville, Signal Proc & Commun Grp, Seville, Spain
Reina, J
[1
]
机构:
[1] Univ Seville, Signal Proc & Commun Grp, Seville, Spain
来源:
Intelligent Automations and Control: Trends Principles, and Applications, Vol 16
|
2004年
/
16卷
关键词:
ICA;
BSE;
DS-CDMA;
WCDMA;
D O I:
暂无
中图分类号:
TP [自动化技术、计算机技术];
学科分类号:
0812 ;
摘要:
In this work we present the application of independent component analysis (ICA) to the problem of blind detection of the transmitted users, in DS-CDMA communication systems. Our main contribution is a novel criterion (and the corresponding algorithm) that allows to jointly exploit the information of several higher order statistics to blindly detect the users in DS-CDMA systems. In order to corroborate the theoretical behaviour of the algorithms, we built a software radio platform at 5 GHz aimed at the development of radio interfaces for the fourth generation of mobile communication systems. We made real measurements of a WCDMA-3GPP signal transmitted at 3.84 Mchip/s.