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Article

Multipath-Assisted Radio Sensing and State Detection for the Connected Aircraft Cabin †

1
Institute of Traffic Telematics, Technische Universität Dresden, 01069 Dresden, Germany
2
Institute of Flight Systems, Bundeswehr University Munich, 85577 Neubiberg, Germany
*
Author to whom correspondence should be addressed.
Ninnemann, J.; Schwarzbach, P.; Michler, O. Multipath-assisted radio sensing and occupancy detection for smart in-house parking in ITS. In Proceedings of the 2021 International Conference on Indoor Positioning and Indoor Navigation (IPIN 2021), Lloret de Mar, Spain, 29 November–2 December 2021.
Academic Editors: Joaquín Torres-Sospedra, Antoni Perez-Navarro and Raúl Montoliu
Sensors 2022, 22(8), 2859; https://doi.org/10.3390/s22082859
Received: 28 February 2022 / Revised: 1 April 2022 / Accepted: 4 April 2022 / Published: 8 April 2022
(This article belongs to the Special Issue Advances in Indoor Positioning and Indoor Navigation)
Efficiency and reliable turnaround time are core features of modern aircraft transportation and key to its future sustainability. Given the connected aircraft cabin, the deployment of digitized and interconnected sensors, devices and passengers provides comprehensive state detection within the cabin. More specifically, passenger localization and occupancy detection can be monitored using location-aware communication systems, also known as wireless sensor networks. These multi-purpose communication systems serve a variety of capabilities, ranging from passenger convenience communication services, over crew member devices, to maintenance planning. In addition, radio-based sensing enables an efficient sensory basis for state monitoring; e.g., passive seat occupancy detection. Within the scope of the connected aircraft cabin, this article presents a multipath-assisted radio sensing (MARS) approach using the propagation information of transmitted signals, which are provided by the channel impulse response (CIR) of the wireless communication channel. By performing a geometrical mapping of the CIR, reflection sources are revealed, and the occupancy state can be derived. For this task, both probabilistic filtering and k-nearest neighbor classification are discussed. In order to evaluate the proposed methods, passenger occupancy detection and state detection for the future automation of passenger safety announcements and checks are addressed. Therefore, experimental measurements are performed using commercially available wideband communication devices, both in close to ideal conditions in an RF anechoic chamber and a cabin seat mockup. In both environments, a reliable radio sensing state detection was achieved. In conclusion, this paper provides a basis for the future integration of energy and spectrally efficient joint communication and sensing radio systems within the connected aircraft cabin. View Full-Text
Keywords: multipath-assisted radio sensing (MARS); wireless sensor network (WSN); channel impulse response (CIR); ultra-wideband (UWB); beyond 5G (B5G); connected aircraft cabin; aircraft boarding; occupancy detection; probabilistic grid mapping; k-nearest neighbor (kNN) classification multipath-assisted radio sensing (MARS); wireless sensor network (WSN); channel impulse response (CIR); ultra-wideband (UWB); beyond 5G (B5G); connected aircraft cabin; aircraft boarding; occupancy detection; probabilistic grid mapping; k-nearest neighbor (kNN) classification
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MDPI and ACS Style

Ninnemann, J.; Schwarzbach, P.; Schultz, M.; Michler, O. Multipath-Assisted Radio Sensing and State Detection for the Connected Aircraft Cabin. Sensors 2022, 22, 2859. https://doi.org/10.3390/s22082859

AMA Style

Ninnemann J, Schwarzbach P, Schultz M, Michler O. Multipath-Assisted Radio Sensing and State Detection for the Connected Aircraft Cabin. Sensors. 2022; 22(8):2859. https://doi.org/10.3390/s22082859

Chicago/Turabian Style

Ninnemann, Jonas, Paul Schwarzbach, Michael Schultz, and Oliver Michler. 2022. "Multipath-Assisted Radio Sensing and State Detection for the Connected Aircraft Cabin" Sensors 22, no. 8: 2859. https://doi.org/10.3390/s22082859

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