文献类型：会议论文

英文题名：Modeling for Mobile Communication Fading Channel Based on Regression Support Vector Machine

作者：Tian, Jingwen[1];Gao, Meijuan[1];Zhou, Shiru[1]

通讯作者：Tian, JW[1]

机构：[1]Beijing Union Univ, Dept Automat Control, Beijing, Peoples R China

第一机构：北京联合大学城市轨道交通与物流学院

通讯机构：[1]corresponding author), Beijing Union Univ, Dept Automat Control, Beijing, Peoples R China.|[1141751]北京联合大学城市轨道交通与物流学院;[11417]北京联合大学;

会议论文集：International Conference on Networks Security, Wireless Communications and Trusted Computing

会议日期：APR 25-26, 2009

会议地点：Wuhan, PEOPLES R CHINA

语种：英文

外文关键词：mobile communication; fading channel; modeling; support vector machine

摘要：Aimed at the complicated and nonlinear relationship between input and output property of wireless channel and the advantages of support vector machine (SVM), a method for wireless channel modeling and simulation based on regression SVM is presented in this paper. The SVM network structure for communication fading channel modeling is established. Moreover, we propose a self-adaptive parameter adjust iterative algorithm to confirm SVM parameters, thereby enhancing the convergence rate and the forecasting accuracy. We discussed the fading channel model and analyzed the impact factor of little-scale fading channel modeling. With the ability of strong nonlinear function approach and fast convergence rate and well generalization of SVM, the modeling method can implement the modeling and simulation of fading channel rapidly and effectively by learning the propagation characteristic information of wireless channel. The simulation result shows the feasibility and validity of modeling method.