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

页码：161 / 164

页数：4

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