电波科学学报2011，Vol.26Issue(5)：927-932,6.
基于最小二乘支持向量机的自适应盲均衡器
An adaptive blind equalizer using LSSVM
摘要
Abstract
This paper presents an adaptive blind support vector machine equalizer （ABSVME）based on least square support vector machine（LSSVM）with good universality. Derived from signal feature reconstruction idea, the method conducts oversampling of the output of LSSVM equalizer and designs a decorrelation cost function, with Kumar express algorithm and static iterative learning algorithm incorporated, to achieve fine online channel tracing. The effectiveness is supported by simulation in which the eomparison with other nonlinear equalizers is made. The result shows the method has execllent perforrnance in nonlinear equalization关键词
最小二乘支持向量机/盲均衡器/自适应/最大似然序列估计/迭代学习算法/LSSVM/非线性均衡/特征恢复Key words
supper vector maehine（SVM） blind equalizer adaptive feature reconstruction分类
信息技术与安全科学引用本文复制引用
毛忠阳,王红星,宋恒,王洪利..基于最小二乘支持向量机的自适应盲均衡器[J].电波科学学报,2011,26(5):927-932,6.基金项目
基金项目：中国博士后科学基金项目 （）
国家自然科学基金项目 （）
