首页 | 本学科首页   官方微博 | 高级检索  
     

基于支持向量拟合的恒模盲均衡算法
引用本文:王燚,郭伟.基于支持向量拟合的恒模盲均衡算法[J].电子测量与仪器学报,2008,22(3).
作者姓名:王燚  郭伟
作者单位:电子科技大学通信抗干扰国家重点实验室,四川成都,610054
摘    要:本文提出了一种利用迭代最小二乘支持向量拟合(IRWLS-SVR)的盲均衡算法.该算法利用数字通信系统中调制方式的恒包络特性(CMA),在基带条件下对具有严重码间干扰的接收信号进行均衡处理,实现无线信道的无误差传输.该方法不同于以往基于神经网络算法和高阶统计量的盲均衡方法,具有收敛速度快,干扰抑制强,计算量小的优点.计算机仿真结果表明,经过多径瑞利信道衰减后的接收信号可以通过该均衡器得到正确解调.

关 键 词:盲均衡  统计学习  支持向量拟合

Blind Equalization of Constant Modulus Based on Support Vector Regression
Wang Yi,Guo Wei.Blind Equalization of Constant Modulus Based on Support Vector Regression[J].Journal of Electronic Measurement and Instrument,2008,22(3).
Authors:Wang Yi  Guo Wei
Affiliation:Wang Yi Guo Wei(National Key Lab of Communication,UESTC,Chengdu,610054,China)
Abstract:In this paper a CMA algorithm for blind equalization based on IRWLS-SVM is proposed.The algorithm uses the characteristics of common modulated amplitude in digital communication system,equalizes the received baseband symbols with serious distortion from the ISI aroused in wireless channel with multipath and Doppler frequency shift,and realizes error-free communication in wireless channel.Compared with other algorithms based on neural network or higher order cummulations,it has the advantages of rapid conver...
Keywords:blind equalization  statistic learning  support vector regression(SVR)    
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号