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Cooperative RF pattern matching positioning for LTE cellular systems

机译:LTE蜂窝系统的协作RF模式匹配定位

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In this paper, cooperative positioning for Long Term Evolution (LTE) cellular systems using Radio Frequency Pattern Matching (RFPM) is studied. Having the locations of users in a cellular system supports many applications such as location-based services and E911. Although Global Positioning System (GPS) can be found in every smartphone, its poor performance in indoor and dense environments encourages the development of cellular network-based solutions. Cellular localization has emerged in which the user locations can be determined by measurements obtained within the network without the aid of any external sources (e.g., GPS). Several positioning techniques have been considered in Release 9 of the 3rd Generation Partnership Project (3GPP) document such as Observed Time Difference Of Arrival (OTDOA) and Enhanced Cell ID (E-CID). In OTDOA, the User Equipment (UE) measures the time difference of signals from multiple eNodeBs and uses a trilateration algorithm to find its location. However, OTDOA performance can be highly degraded in rich multipath and non-line-of-sight environments particularly when there is strong interference. Hence, many companies and researchers are also evaluating other techniques such as RFPM in which the user location is estimated by comparing UE measurements with a series of reference data. RFPM is independent of line-of-sight conditions and has good performance in dense urban and indoor environments. In the current LTE networks, the UE can only communicate with eNodeBs. However, there are scenarios in which the UE is not able to communicate with a sufficient number of eNodeBs and cannot find its location without ambiguity. In this paper, a cooperative localization technique for LTE systems is proposed in which leveraging the Device-to-Device (D2D) communications protocol the UE communicates not only with eNodeBs but also with other UEs. It will be shown through computer simulations that the proposed positioning algorithm can significantly impr- ve the positioning performance in LTE networks.
机译:本文研究了使用射频模式匹配(RFPM)的长期演进(LTE)蜂窝系统的协同定位。在蜂窝系统中拥有用户的位置可以支持许多应用程序,例如基于位置的服务和E911。尽管可以在每部智能手机中找到全球定位系统(GPS),但在室内和密集环境中其糟糕的性能促使人们开发基于蜂窝网络的解决方案。已经出现了蜂窝定位,其中可以通过在网络内获得的测量结果来确定用户位置,而无需借助任何外部源(例如GPS)。在第三代合作伙伴计划(3GPP)文档的版本9中已经考虑了几种定位技术,例如观测到的时差(OTDOA)和增强型小区ID(E-CID)。在OTDOA中,用户设备(UE)测量来自多个eNodeB的信号的时间差,并使用三边测量算法查找其位置。但是,在丰富的多径和非视距环境中,尤其是在存在强烈干扰的情况下,OTDOA性能可能会大大降低。因此,许多公司和研究人员也在评估其他技术,例如RFPM,其中通过将UE测量值与一系列参考数据进行比较来估计用户位置。 RFPM不受视线条件的影响,并且在密集的城市和室内环境中具有良好的性能。在当前的LTE网络中,UE只能与eNodeB进行通信。但是,在某些情况下,UE无法与足够数量的eNodeB进行通信,并且在没有歧义的情况下无法找到其位置。在本文中,提出了一种针对LTE系统的协作定位技术,其中,UE不仅利用设备到设备(D2D)通信协议与eNodeB进行通信,而且还与其他UE进行通信。通过计算机仿真可以看出,所提出的定位算法可以显着提高LTE网络中的定位性能。

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