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Empirical Fading Model and Bayesian Calibration for Multipath-Enhanced Device-Free Localization

Schmidhammer, Martin and Gentner, Christian and Walter, Michael and Sand, Stephan and Siebler, Benjamin and 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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Abstract

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.

Item URL in elib:https://elib.dlr.de/201428/
Document Type:Article
Title:Empirical Fading Model and Bayesian Calibration for Multipath-Enhanced Device-Free Localization
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schmidhammer, MartinUNSPECIFIEDhttps://orcid.org/0000-0002-9345-142XUNSPECIFIED
Gentner, ChristianUNSPECIFIEDhttps://orcid.org/0000-0003-4298-8195UNSPECIFIED
Walter, MichaelUNSPECIFIEDhttps://orcid.org/0000-0001-5659-8716UNSPECIFIED
Sand, StephanUNSPECIFIEDhttps://orcid.org/0000-0001-9502-5654UNSPECIFIED
Siebler, BenjaminUNSPECIFIEDhttps://orcid.org/0000-0002-1745-408XUNSPECIFIED
Fiebig, Uwe-CarstenUNSPECIFIEDhttps://orcid.org/0000-0003-2736-1140UNSPECIFIED
Date:2024
Journal or Publication Title:IEEE Transactions on Wireless Communications
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Publisher:IEEE - Institute of Electrical and Electronics Engineers
ISSN:1536-1276
Status:Accepted
Keywords: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 - Research field:Aeronautics, Space and Transport
HGF - Program:Transport
HGF - Program Themes:Road Transport
DLR - Research area:Transport
DLR - Program:V ST Straßenverkehr
DLR - Research theme (Project):V - KoKoVI - Koordinierter kooperativer Verkehr mit verteilter, lernender Intelligenz
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Schmidhammer, Martin
Deposited On:21 Dec 2023 11:51
Last Modified:23 Jan 2024 17:44

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