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首页> 外文期刊>Vehicular Technology, IEEE Transactions on >A Single-Base-Station Localization Approach Using a Statistical Model of the NLOS Propagation Conditions in Urban Terrain
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A Single-Base-Station Localization Approach Using a Statistical Model of the NLOS Propagation Conditions in Urban Terrain

机译:使用NLOS传播条件在城市地形中的统计模型的单基站定位方法

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摘要

Implementation of the Federal Communications Commission's (FCC) E-911 Phase-2 requirements and commercial location-based services in urban environments requires mobile station (MS) localization capabilities in non-line-of-sight (NLOS) propagation conditions. This work addresses the problem of MS localization in urban environments characterized by the NLOS propagation conditions and limited Global Positioning System (GPS) services. We propose a single-base-station-based localization approach that uses a statistical model of urban propagation conditions in the framework of target classification. The proposed localization approach involves no data collection during the training process, requires no modifications of the MS hardware, is not location specific, and requires no identification and mitigation of the NLOS conditions. The performance of the proposed localization approach was evaluated using collected and ray-traced measurements.
机译:在城市环境中实施联邦通信委员会(FCC)E-911第二阶段要求和基于商业位置的服务需要在非视距(NLOS)传播条件下的移动台(MS)本地化功能。这项工作解决了以NLOS传播条件和有限的全球定位系统(GPS)服务为特征的城市环境中MS本地化的问题。我们提出一种基于单站的本地化方法,该方法在目标分类的框架中使用城市传播状况的统计模型。所提出的本地化方法在训练过程中不涉及任何数据收集,不需要修改MS硬件,也不是特定于位置的,并且不需要识别和缓解NLOS条件。所提出的定位方法的性能是使用收集的和光线追踪的测量结果进行评估的。

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