Schmidhammer, Martin und Gentner, Christian und Walter, Michael und Sand, Stephan und Siebler, Benjamin und Fiebig, Uwe-Carsten (2024) Empirical Fading Model and Bayesian Calibration for Multipath-Enhanced Device-Free Localization. IEEE Transactions on Wireless Communications. IEEE - Institute of Electrical and Electronics Engineers. ISSN 1536-1276.
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Kurzfassung
Multipath-enhanced device-free localization (MDFL) systems determine presence and location of objects and users not necessarily equipped with localization devices. For localization, MDFL systems exploit user-induced changes in the power of all received signal components, including both line-of-sight and multipath components (MPCs). In this work, we therefore provide a statistical fading model that describes user-induced changes in received power specifically for MPCs. The model is derived and validated empirically using an extensive set of wideband and ultra-wideband measurement data. Since the localization performance of MDFL systems strongly depends on the information about the propagation paths within the wireless network, we further propose a Bayesian calibration approach that estimates the location of the reflection points of MPCs caused by single-bounce reflections. For MPCs caused by single-bounce reflections, the solution space of possible locations of reflection points is constrained to the delay ellipse, which allows the formulation of a computationally efficient one-dimensional estimation problem. Eventually, the problem is solved by sequential Bayesian estimation. The applicability of the proposed approach is demonstrated and evaluated using measurement data. Independent of the underlying measurement system, the Bayesian calibration approach is shown to robustly estimate the locations of the reflection points in different environments. Finally, the localization results of MDFL for an indoor scenario confirm the applicability of the Bayesian calibration approach.
elib-URL des Eintrags: | https://elib.dlr.de/201428/ | ||||||||||||||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||||||||||||||
Titel: | Empirical Fading Model and Bayesian Calibration for Multipath-Enhanced Device-Free Localization | ||||||||||||||||||||||||||||
Autoren: |
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Datum: | 2024 | ||||||||||||||||||||||||||||
Erschienen in: | IEEE Transactions on Wireless Communications | ||||||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||||||
Verlag: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||||||||||||||
ISSN: | 1536-1276 | ||||||||||||||||||||||||||||
Status: | akzeptierter Beitrag | ||||||||||||||||||||||||||||
Stichwörter: | multipath propagation, device-free localization (DFL), multipath-enhanced device-free localization (MDFL), wireless sensor networks, sensing, statistical body fading, sequential Bayesian estimation, elliptic filtering | ||||||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||||||
HGF - Programm: | Verkehr | ||||||||||||||||||||||||||||
HGF - Programmthema: | Straßenverkehr | ||||||||||||||||||||||||||||
DLR - Schwerpunkt: | Verkehr | ||||||||||||||||||||||||||||
DLR - Forschungsgebiet: | V ST Straßenverkehr | ||||||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | V - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz | ||||||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Kommunikation und Navigation > Nachrichtensysteme | ||||||||||||||||||||||||||||
Hinterlegt von: | Schmidhammer, Martin | ||||||||||||||||||||||||||||
Hinterlegt am: | 21 Dez 2023 11:51 | ||||||||||||||||||||||||||||
Letzte Änderung: | 23 Jan 2024 17:44 |
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