Indoor Localization of Smartphones Thanks to Zero-Energy-Devices Beacons
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866929256697692160 |
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| author | Yang, Shanglin Benedic, Yohann Phan-Huy, Dinh-Thuy Gorce, Jean-Marie Villemaud, Guillaume |
| author_facet | Yang, Shanglin Benedic, Yohann Phan-Huy, Dinh-Thuy Gorce, Jean-Marie Villemaud, Guillaume |
| contents | In this paper, we present a new ultra-low power method of indoor localization of smartphones (SM) based on zero-energy-devices (ZEDs) beacons instead of active wireless beacons. Each ZED is equipped with a unique identification number coded into a bit-sequence, and its precise position on the map is recorded. An SM inside the building is assumed to have access to the map of ZEDs. The ZED backscatters ambient waves from base stations (BSs) of the cellular network. The SM detects the ZED message in the variations of the received ambient signal from the BS. We accurately simulate the ambient waves from a BS of Orange 4G commercial network, inside an existing large building covered with ZED beacons, thanks to a ray-tracing-based propagation simulation tool. Our first performance evaluation study shows that the proposed localization system enables us to determine in which room a SM is located, in a realistic and challenging propagation scenario. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_16446 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Indoor Localization of Smartphones Thanks to Zero-Energy-Devices Beacons Yang, Shanglin Benedic, Yohann Phan-Huy, Dinh-Thuy Gorce, Jean-Marie Villemaud, Guillaume Signal Processing In this paper, we present a new ultra-low power method of indoor localization of smartphones (SM) based on zero-energy-devices (ZEDs) beacons instead of active wireless beacons. Each ZED is equipped with a unique identification number coded into a bit-sequence, and its precise position on the map is recorded. An SM inside the building is assumed to have access to the map of ZEDs. The ZED backscatters ambient waves from base stations (BSs) of the cellular network. The SM detects the ZED message in the variations of the received ambient signal from the BS. We accurately simulate the ambient waves from a BS of Orange 4G commercial network, inside an existing large building covered with ZED beacons, thanks to a ray-tracing-based propagation simulation tool. Our first performance evaluation study shows that the proposed localization system enables us to determine in which room a SM is located, in a realistic and challenging propagation scenario. |
| title | Indoor Localization of Smartphones Thanks to Zero-Energy-Devices Beacons |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2402.16446 |