Position Locationing for Millimeter Wave Systems
Position Locationing for Millimeter Wave Systems
复制标题
毫米波系统的位置定位
DOI:
10.1109/glocom.2018.8647983
复制
发表时间:
2018
期刊:
影响因子:
--
通讯作者:
Rappaport, Theodore S.
中科院分区:
文献类型:
--
作者:
Kanhere, Ojas;Rappaport, Theodore S.
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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影响因子:
4.2
作者:
Huihui Wang;T. Rappaport
通讯作者:
T. Rappaport
影响因子:
2.4
作者:
Monteiro, LS;Moore, T;Hill, C
通讯作者:
Hill, C
影响因子:
3.1
作者:
T. Rappaport;Wonil Roh;K. Cheun
通讯作者:
K. Cheun
DOI:
10.1145/1658550.1658566
发表时间:
2009
期刊:
2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)
影响因子:
--
作者:
Arto Puikkonen;Ari;M. Haveri;Jussi Huhtala;Jonna Häkkilä
通讯作者:
Jonna Häkkilä