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Bayesian Approaches to Multipath-Enhanced Device-Free Localization

Schmidhammer, Martin and Siebler, Benjamin and Gentner, Christian and Sand, Stephan and Fiebig, Uwe-Carsten (2020) Bayesian Approaches to Multipath-Enhanced Device-Free Localization. In: 15th European Conference on Antennas and Propagation, EuCAP 2021. 15th European Conference on Antennas and Propagation (EuCAP), 22.-26. März 2021, Düsseldorf, Deutschland. ISBN 978-883129902-2.

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Abstract

Device-free localization systems infer presence and location of moving users by measuring user-induced perturbations in the signal power between wireless network nodes. Thereby, users not only induce perturbations to the power of the line-of-sight, but also to the power of reflected and scattered signals which are observed in the received signal as multipath components. Since the propagation paths of multipath components differ inherently from the line-of-sight path, these propagation paths can be considered as additional network links. This extended network determines the multipath-enhanced device-free localization system. Based on empirical models that relate perturbations in the power of multipath components to the user location, the localization problem can be solved by nonlinear Bayesian filtering. In this work, we therefore investigate the point mass filter and the particle filter as possible solutions. Using simulations, we demonstrate the applicability of these filter solutions for multipath-enhanced device-free localization. The overall localization performance is comparable for both filters. Further, the simulation results indicate an improvement of the localization performance of multipath-enhanced device-free localization compared to device-free localization.

Item URL in elib:https://elib.dlr.de/139244/
Document Type:Conference or Workshop Item (Speech)
Title:Bayesian Approaches to Multipath-Enhanced Device-Free Localization
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Schmidhammer, Martinmartin.schmidhammer (at) dlr.dehttps://orcid.org/0000-0002-9345-142X
Siebler, Benjaminbenjamin.siebler (at) dlr.dehttps://orcid.org/0000-0002-1745-408X
Gentner, Christianchristian.gentner (at) dlr.dehttps://orcid.org/0000-0003-4298-8195
Sand, StephanStephan.Sand (at) dlr.dehttps://orcid.org/0000-0001-9502-5654
Fiebig, Uwe-CarstenUwe.Fiebig (at) dlr.dehttps://orcid.org/0000-0003-2736-1140
Date:16 October 2020
Journal or Publication Title:15th European Conference on Antennas and Propagation, EuCAP 2021
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
ISBN:978-883129902-2
Status:Published
Keywords:Sequential Bayesian estimation, device-free localization, extended Kalman filter, particle filter, point mass filter
Event Title:15th European Conference on Antennas and Propagation (EuCAP)
Event Location:Düsseldorf, Deutschland
Event Type:international Conference
Event Dates:22.-26. März 2021
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 - NGC KoFiF
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Schmidhammer, Martin
Deposited On:31 Mar 2021 16:17
Last Modified:23 Feb 2022 16:24

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