A Novel Blind Equalization Algorithm for QPSK Signals

摘要：

Thi paper presents a novel SVM-SCA algorithm combining support vector machines (SVM) with square contour algorithm(SCA). The proposed algorithm sets the initial weights of the blind equalizer by means of SVM and then switches to SCA algorithm which has a lower computational complexity. The simulation results demonstrate that the SVM-SCA algorithm converges much faster, gains better ISI performance and is more steady compared with the traditional blind equalization based on SCA.

关键词： Support Vector Machines Blind equalization Square Contour Algorithm Residual ISI

作者: Wang Lin Liu Shun-lan

作者单位: College of Communication Engineering Hangzhou Dianzi University Hangzhou, Zhejiang, China, 310018

会议类型: 国际会议

会议名称: Third International Symposium on Information Science and Engineering(第三届信息科学与工程国际会议 ISISE 2010)

会议地点: 上海

会议语种:英文

页码: 331-335

在线出版日期: 2010-12-24（万方平台首次上网日期，不代表论文的发表时间）