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Carrier phase ranging for indoor positioning with 5G NR signals

Carrier phase ranging for indoor positioning with 5G NR signals
Carrier phase ranging for indoor positioning with 5G NR signals
Indoor positioning is one of the core technologies of Internet of Things (IoT) and artificial intelligence (AI), and is expected to play a significant role in the upcoming era of AI. However, affected by the complexity of indoor environments, it is still highly challenging to achieve continuous and reliable indoor positioning. Currently, 5G cellular networks are being deployed worldwide, the new technologies of which have brought the approaches for improving the performance of wireless indoor positioning. In this paper, we investigate the indoor positioning under the 5G new radio (NR), which has been standardized and being commercially operated in massive markets. Specifically, a solution is proposed and a software defined receiver (SDR) is developed for indoor positioning. With our SDR indoor positioning system, the 5G NR signals are firstly sampled by universal software radio peripheral (USRP), and then, coarse synchronization is achieved via detecting the start of the synchronization signal block (SSB). Then, with the assistance of the pilots transmitted on the physical broadcasting channel (PBCH), multipath acquisition and delay tracking are sequentially carried out to estimate the time of arrival (ToA) of received signals. Furthermore, to improve the ToA ranging accuracy, the carrier phase of the first arrived path is estimated. Finally, to quantify the accuracy of our ToA estimation method, indoor field tests are carried out in an office environment, where a 5G NR base station (known as gNB) is installed for commercial use. Our test results show that, in the static test scenarios, the ToA accuracy measured by the 1-σ error interval is about 0.5 m, while in the pedestrian mobile environment, the probability of range accuracy within 0.8 m is 95%.
2327-4662
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Chen, Liang
606e43d4-b979-4a80-8522-2774865a36de
Zhou, Xin
0de7851a-aa2c-41a3-915a-fb149c23d9cb
Chen, Feifei
5441120a-d0bb-401e-aaa8-0ba094c66c55
Chen, Ruizhi
1d27b684-9ef2-43a3-96a0-489e41200e9e
Yang, Lie-Liang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Chen, Liang
606e43d4-b979-4a80-8522-2774865a36de
Zhou, Xin
0de7851a-aa2c-41a3-915a-fb149c23d9cb
Chen, Feifei
5441120a-d0bb-401e-aaa8-0ba094c66c55
Chen, Ruizhi
1d27b684-9ef2-43a3-96a0-489e41200e9e

Yang, Lie-Liang, Chen, Liang, Zhou, Xin, Chen, Feifei and Chen, Ruizhi (2021) Carrier phase ranging for indoor positioning with 5G NR signals. IEEE Internet of Things Journal. (doi:10.1109/JIOT.2021.3125373).

Record type: Article

Abstract

Indoor positioning is one of the core technologies of Internet of Things (IoT) and artificial intelligence (AI), and is expected to play a significant role in the upcoming era of AI. However, affected by the complexity of indoor environments, it is still highly challenging to achieve continuous and reliable indoor positioning. Currently, 5G cellular networks are being deployed worldwide, the new technologies of which have brought the approaches for improving the performance of wireless indoor positioning. In this paper, we investigate the indoor positioning under the 5G new radio (NR), which has been standardized and being commercially operated in massive markets. Specifically, a solution is proposed and a software defined receiver (SDR) is developed for indoor positioning. With our SDR indoor positioning system, the 5G NR signals are firstly sampled by universal software radio peripheral (USRP), and then, coarse synchronization is achieved via detecting the start of the synchronization signal block (SSB). Then, with the assistance of the pilots transmitted on the physical broadcasting channel (PBCH), multipath acquisition and delay tracking are sequentially carried out to estimate the time of arrival (ToA) of received signals. Furthermore, to improve the ToA ranging accuracy, the carrier phase of the first arrived path is estimated. Finally, to quantify the accuracy of our ToA estimation method, indoor field tests are carried out in an office environment, where a 5G NR base station (known as gNB) is installed for commercial use. Our test results show that, in the static test scenarios, the ToA accuracy measured by the 1-σ error interval is about 0.5 m, while in the pedestrian mobile environment, the probability of range accuracy within 0.8 m is 95%.

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2112.11772 - Accepted Manuscript
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More information

Accepted/In Press date: 13 November 2021
e-pub ahead of print date: 13 November 2021
Additional Information: arXiv:2112.11772

Identifiers

Local EPrints ID: 454740
URI: http://eprints.soton.ac.uk/id/eprint/454740
ISSN: 2327-4662
PURE UUID: 69d50302-8c74-45c0-9600-527cd967812f
ORCID for Lie-Liang Yang: ORCID iD orcid.org/0000-0002-2032-9327

Catalogue record

Date deposited: 22 Feb 2022 17:38
Last modified: 28 Apr 2022 01:43

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Contributors

Author: Lie-Liang Yang ORCID iD
Author: Liang Chen
Author: Xin Zhou
Author: Feifei Chen
Author: Ruizhi Chen

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