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个人信息Personal Information
教授
博士生导师
硕士生导师
性别:男
毕业院校:大连理工大学
学位:博士
所在单位:生物医学工程学院
学科:生物医学工程. 信号与信息处理
办公地点:大连理工大学电信学部
联系方式:tanghong@dlut.edu.cn
电子邮箱:tanghong@dlut.edu.cn
A macro-cell statistical location estimation method for TD-SCDMA networks
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论文类型:期刊论文
发表时间:2009-10-01
发表刊物:SIGNAL PROCESSING
收录刊物:SCIE、EI、Scopus
卷号:89
期号:10
页面范围:1851-1863
ISSN号:0165-1684
关键字:Wireless location estimation; TD-SCDMA; Time of arrival (TOA); Angle of arrival (AOA); Spatial-temporal channel model
摘要:TD-SCDMA is an innovative wireless radio standard for a physical layer 3G air interface, approved as one 3GPP standards by ITU in May 2000. Based on the unique advantages of the physical layer, this paper investigates network-based methods to obtain the angle of arrival (AOA) and time of arrival (TOA) via subspace tracking and channel impulsive estimation. By incorporating the spatial-temporal channel of radio propagation, this paper proposes a unified objective function to extract mobile location information from the statistical distribution of AOA and TOA data in a TD-SCDMA cellular network. The proposed method may estimate mobile position even using one base station. The location performances are analyzed in detail in macro-cell scenarios. This method can be easily extended to other networks except TD-SCDMA, provided that the statistical information of the local radio propagation channel is available as pre-knowledge. Simulation comparing several hybrid location methods in two macro-cell scenarios show that the proposed method has a high accuracy: but it has a relatively high complexity. (C) 2009 Elsevier B.V. All rights reserved.