Multi-user detection in MC-CDMA systems and unsupervised neural network: Why?

被引：0
|
作者：
Carlier, F [1 ]
Nouvel, F [1 ]
机构：
[1] Inst Elect & Telecommun Rennes, CNRS, UMR 6164, F-35043 Rennes, France
来源：
ICECS 2003: PROCEEDINGS OF THE 2003 10TH IEEE INTERNATIONAL CONFERENCE ON ELECTRONICS, CIRCUITS AND SYSTEMS, VOLS 1-3 | 2003年
关键词：
D O I：
暂无
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper is about a MC-CDMA detector based on unsupervised neural network. Systems based on MC-CDMA techniques generally require quite a complex implementation to achieve high data rates. The solution we will consider here, offers less complexity as well as realtime execution. The idea is to allow the implementation of a simulated system in a realtime system within the field of standard multi-user detection methods.
引用
收藏
页码：1336 / 1339
页数：4
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