A Wireless Location System in LTE Networks

Personal location technologies are becoming important with the rapid development of Mobile Internet services. In traditional cellular networks, the key problems of user location technologies are high-precision synchronization among different base stations, inflexible processing resources, and low ac...

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Main Authors: Qi Liu, Rongyi Hu, Shan Liu
Format: Article
Language:English
Published: Hindawi Limited 2017-01-01
Series:Mobile Information Systems
Online Access:http://dx.doi.org/10.1155/2017/6160489
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spelling doaj-dfba639b30b748588e263bf56020038c2021-07-02T02:44:21ZengHindawi LimitedMobile Information Systems1574-017X1875-905X2017-01-01201710.1155/2017/61604896160489A Wireless Location System in LTE NetworksQi Liu0Rongyi Hu1Shan Liu2Network Technology Research Institute, China Unicom, Beijing 100084, ChinaNetwork Technology Research Institute, China Unicom, Beijing 100084, ChinaNetwork Technology Research Institute, China Unicom, Beijing 100084, ChinaPersonal location technologies are becoming important with the rapid development of Mobile Internet services. In traditional cellular networks, the key problems of user location technologies are high-precision synchronization among different base stations, inflexible processing resources, and low accuracy positioning, especially for indoor environment. In this paper, a new LTE location system in Centralized Radio Access Network (C-RAN) is proposed, which makes channel and location measurement more available, allocation of baseband processing resources more flexible, and location service capability opening. The location system contains more than two antenna clusters, and each of them gets time-difference-of-arrival (TDOA) of sounding reference signals (SRSs) from different antennas. Then, based on data provided by location measurement units (LMUs), the location information server calculates TDOAs and derives the users’ position. Furthermore, a new location algorithm is raised which can achieve distributed antennas collaboration and centralized location computing. And an improved optimized algorithm with the best TDOA selection is proposed. Finally, simulations are given out to verify the efficiency of the proposed algorithm in this LTE location system.http://dx.doi.org/10.1155/2017/6160489
collection DOAJ
language English
format Article
sources DOAJ
author Qi Liu
Rongyi Hu
Shan Liu
spellingShingle Qi Liu
Rongyi Hu
Shan Liu
A Wireless Location System in LTE Networks
Mobile Information Systems
author_facet Qi Liu
Rongyi Hu
Shan Liu
author_sort Qi Liu
title A Wireless Location System in LTE Networks
title_short A Wireless Location System in LTE Networks
title_full A Wireless Location System in LTE Networks
title_fullStr A Wireless Location System in LTE Networks
title_full_unstemmed A Wireless Location System in LTE Networks
title_sort wireless location system in lte networks
publisher Hindawi Limited
series Mobile Information Systems
issn 1574-017X
1875-905X
publishDate 2017-01-01
description Personal location technologies are becoming important with the rapid development of Mobile Internet services. In traditional cellular networks, the key problems of user location technologies are high-precision synchronization among different base stations, inflexible processing resources, and low accuracy positioning, especially for indoor environment. In this paper, a new LTE location system in Centralized Radio Access Network (C-RAN) is proposed, which makes channel and location measurement more available, allocation of baseband processing resources more flexible, and location service capability opening. The location system contains more than two antenna clusters, and each of them gets time-difference-of-arrival (TDOA) of sounding reference signals (SRSs) from different antennas. Then, based on data provided by location measurement units (LMUs), the location information server calculates TDOAs and derives the users’ position. Furthermore, a new location algorithm is raised which can achieve distributed antennas collaboration and centralized location computing. And an improved optimized algorithm with the best TDOA selection is proposed. Finally, simulations are given out to verify the efficiency of the proposed algorithm in this LTE location system.
url http://dx.doi.org/10.1155/2017/6160489
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