Blind Equalization Using v- Support Vector Regressor for Constant Modulus Signals

被引：0
|
作者：
Liu, Feng [1 ]
An, Hu-cheng [1 ]
Li, Jia-ming [1 ]
Ge, Lin-dong [1 ]
机构：
[1] Informat Sci & Technol Inst, Zhengzhou 450002, Henan, Peoples R China
来源：
2008 IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1-8 | 2008年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The support vector machine has been recently developed for blind equalization of constant modulus signals. In this paper we propose to use a v-support vector regressor (v-SVR) for blindly equalizing multipath channels because of the high generalization ability of the SVR for short burst sequences. A weighted least square procedure is presented for solving the blind v-SVR equalizer. The performance of the proposed algorithm is analyzed by means of computer simulations.
引用
收藏
页码：161 / 164
页数：4
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