An Adaptive Support Vector Machine Decision Feedback Equalizer

摘要：

An adaptive support vector machine decision feedback equalizer (ASVM DFE) with less computational intensity based on least square support vector machine (LS SVM) is proposed in this paper. It solves linear systems iteratively. Simulations made in nonlinear time variant channels show that ASVM DFE performs excellent nonlinear equalization which is better than traditional decision feedback equalizer (DFE).

关键词： support vector machine equalizer decision feedback

作者: Zhongyang Mao Hongxing Wang Heng Song Hongli Wang Jun Li Yuntao Han

作者单位: Department of Electronic and Information Engineering Naval Aeronautical and Astronautical University Yantai, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information Security and Artificial Intelligence(2010年信息安全与人工智能国际会议 ISAI 2010)

会议地点: 成都

会议语种:英文

页码: 1729-1733

在线出版日期: 2010-12-17（万方平台首次上网日期，不代表论文的发表时间）