Mobile Location Based on SVM In MIMO Communication Systems

摘要：

In this paper, a novel method for the positioning issue in MIMO wireless communication system is proposed, which is based on least squares support vector machine (LS-SVM). The experimental environment is established by using ray-tracing channel model, which can get three channel characteristics: delay of arrival (DOA), angle of arrival (AOA) and angle of departure (AOD) in the experimental environment. Thousands of channel characteristics make up of training set for least square support vector machine to fit the function from characteristics to coordinates. Finally, channel parameters of unknown point are used to test the function to estimate the point coordinates. The comparison results of location errors of support vector machine method, K nearest neighbor algorithm and artificial neural networks show the effectiveness and superiority of this method.

关键词： MIMO location support vector machine ray tracing

作者: Jianping Zhang Yongning Zhuo Yi Zhao

作者单位: National Key Laboratory of Science and Technology on Communications University of Electronic Science and Technology of China Chengdu Sichuan, China

会议类型: 国际会议

会议名称: 2010 International Conference on Information,Networking and Automation(2010 IEEE信息网络与自动化国际会议 ICINA 2010)

会议地点: 昆明

会议语种:英文

页码: 360-363

在线出版日期: 2010-10-17（万方平台首次上网日期，不代表论文的发表时间）