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User Tracking with Multipath Assisted Positioning-based Fingerprinting and Deep Learning

Ulmschneider, Markus and Gentner, Christian (2023) User Tracking with Multipath Assisted Positioning-based Fingerprinting and Deep Learning. In: 17th European Conference on Antennas and Propagation, EuCAP 2023. 17th European Conference on Antennas and Propagation (EuCAP), 2023-03-26 - 2023-03-31, Florenz, Italien. doi: 10.23919/EuCAP57121.2023.10133005.

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Abstract

Multipath assisted positioning schemes allow localizing a user with only a single physical transmitter by treating multipath components (MPCs) as line-of-sight signals from virtual transmitters. The user position and the locations of the physical and virtual transmitters can be estimated jointly with simultaneous localization and mapping (SLAM). While such approaches often show very good positioning performance, they come at the cost of a high computational complexity. To reduce this complexity, multipath assisted positioning schemes based on SLAM may be combined with fingerprinting, where the fingerprints are features of the wireless radio channel. Within this paper, we present such an approach, where a deep neural network (DNN) is trained on data from a multipath assisted positioning scheme to predict the user position and the corresponding uncertainty from channel information. Based on the DNN, a Kalman filter can accurately and efficiently track the user position. We show by simulations that the positioning performance is improved by a factor of 1.5 while the computational complexity is crucially lower than that of multipath assisted positioning-based SLAM.

Item URL in elib:https://elib.dlr.de/193750/
Document Type:Conference or Workshop Item (Speech)
Title:User Tracking with Multipath Assisted Positioning-based Fingerprinting and Deep Learning
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Ulmschneider, MarkusUNSPECIFIEDhttps://orcid.org/0000-0001-7241-7057UNSPECIFIED
Gentner, ChristianUNSPECIFIEDhttps://orcid.org/0000-0003-4298-8195UNSPECIFIED
Date:2023
Journal or Publication Title:17th European Conference on Antennas and Propagation, EuCAP 2023
Refereed publication:Yes
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
DOI:10.23919/EuCAP57121.2023.10133005
Status:Published
Keywords:cooperative Channel-SLAM, deep learning, fingerprinting, localization, simultaneous localization and mapping
Event Title:17th European Conference on Antennas and Propagation (EuCAP)
Event Location:Florenz, Italien
Event Type:international Conference
Event Start Date:26 March 2023
Event End Date:31 March 2023
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication, Navigation, Quantum Technology
DLR - Research area:Raumfahrt
DLR - Program:R KNQ - Communication, Navigation, Quantum Technology
DLR - Research theme (Project):R - Project Navigation 4.0
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Ulmschneider, Markus
Deposited On:01 Feb 2023 12:53
Last Modified:24 Apr 2024 20:54

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