Position Locationing for Millimeter Wave Systems

Position Locationing for Millimeter Wave Systems
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毫米波系统的位置定位

DOI:
10.1109/glocom.2018.8647983
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发表时间:
2018
期刊:
2018 IEEE Global Communications Conference (GLOBECOM
影响因子:
--
通讯作者:
Rappaport, Theodore S.
Rappaport, Theodore S.
中科院分区:
--
文献类型:
--
作者:
Kanhere, Ojas;Rappaport, Theodore S.

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可用于毫米波(mmWave)无线通信系统的大量频谱将支持与通信信令并发的准确实时定位。本文证明了可以使用到达时间(ToA),到达角(AoA)以及数据融合或机器学习的估计来确定未知节点位置的准确估计。在28 GHz和73 GHz的真实世界的数据被用来表明,基于AoA的定位技术将需要与其他定位技术增强。融合的AoA为基础的定位与接收功率测量的RX在办公室的尺寸为35米的65.5米的显示,以提供位置精度范围从16厘米到3.25米,表示承诺在未来的网络中的准确定位能力。利用接收功率的排序的基于接收信号强度(RSSI)的定位技术可用于确定用户位置的粗略估计。使用2-D射线追踪来完成接收信号特性的预测。
The vast amount of spectrum available for millimeter wave (mmWave) wireless communication systems will support accurate real-time positioning concurrent with communication signaling. This paper demonstrates that accurate estimates of the position of an unknown node can be determined using estimates of time of arrival (ToA), angle of arrival (AoA), as well as data fusion or machine learning. Real-world data at 28 GHz and 73 GHz is used to show that AoA-based localization techniques will need to be augmented with other positioning techniques. The fusion of AoA-based positioning with received power measurements for RXs in an office which has dimensions of 35 m by 65.5 m is shown to provide location accuracies ranging from 16 cm to 3.25 m, indicating promise for accurate positioning capabilities in future networks. Received signal strength intensity (RSSI) based positioning techniques that exploit the ordering of the received power can be used to determine rough estimates of user position. Prediction of received signal characteristics is done using 2-D ray tracing.
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