EBPSK Signal Detector based on Support Vector Machine

被引：0

作者：

Jin, Yi ^{[1
]}

Wang, Jiwu ^{[1
]}

Wu, Lenan ^{[1
]}

机构：

[1] Southeast Univ, Sch Informat Sci & Engn, Nanjing, Jiangsu, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTATION AND INDUSTRIAL APPLICATION (ICIA2011), VOL III | 2011年

关键词：

EBPSK modulation; Impacting filter; SVM classifier; BP neural network; Detector;

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：

In EBPSK communication system, the modulated waveforms of digit 0 and digit 1 have obviously difference when they passed through an impacting filter. In order to achieve better decision and based on statistic learning theory, this paper devised a support vector machine(SVM) classifier and used it to classify the "0" and "1" at the output of the impacting filter. On comparison with the decision results of the BP neural network classifier, the efficiency of the SVM classifier is proved.

引用

页码：17 / 19

页数：3