Wireless technologies are increasingly adopted for indoor localisation and tracking. Among them, radars based on 60 GHz phased-array transceivers are becoming a viable and low-cost solution, which delivers high accuracy with a low computational cost while preserving people privacy. In this paper, we propose two techniques for radar-based people tracking and localisation that tackle important effects such as delayed and spurious detection. We also offer a thorough and scientifically sound experimental analysis of the performance of the proposed techniques using an off-the-shelf phased-array device (i.e., the System-on-Chip (SOC) TI IWR6843).

Algorithms for Enhanced Indoor Positioning and Tracking based on a 60-GHz Radar Platform / Shamsfakhr, E; Corra, M; Ferrari, A; Macii, D; Palopoli, L; Fontanelli, D. - (2022), pp. 184-189. (Intervento presentato al convegno MetroInd4.0 tenutosi a Trento, Italy nel 7-9 June, 2022) [10.1109/MetroInd4.0IoT54413.2022.9831650].

Algorithms for Enhanced Indoor Positioning and Tracking based on a 60-GHz Radar Platform

Macii, D;Palopoli, L;Fontanelli, D
2022-01-01

Abstract

Wireless technologies are increasingly adopted for indoor localisation and tracking. Among them, radars based on 60 GHz phased-array transceivers are becoming a viable and low-cost solution, which delivers high accuracy with a low computational cost while preserving people privacy. In this paper, we propose two techniques for radar-based people tracking and localisation that tackle important effects such as delayed and spurious detection. We also offer a thorough and scientifically sound experimental analysis of the performance of the proposed techniques using an off-the-shelf phased-array device (i.e., the System-on-Chip (SOC) TI IWR6843).
2022
Proc. IEEE International Workshop on Metrology for Industry 4.0 IoT
Piscataway, NJ USA
IEEE
978-1-6654-1093-9
Shamsfakhr, E; Corra, M; Ferrari, A; Macii, D; Palopoli, L; Fontanelli, D
Algorithms for Enhanced Indoor Positioning and Tracking based on a 60-GHz Radar Platform / Shamsfakhr, E; Corra, M; Ferrari, A; Macii, D; Palopoli, L; Fontanelli, D. - (2022), pp. 184-189. (Intervento presentato al convegno MetroInd4.0 tenutosi a Trento, Italy nel 7-9 June, 2022) [10.1109/MetroInd4.0IoT54413.2022.9831650].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/371637
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