Ulmschneider, Markus und Gentner, Christian und Dammann, Armin (2024) Mixture Density Networks for Multipath Assisted Positioning-based Fingerprinting. In: 18th European Conference on Antennas and Propagation, EuCAP 2024. 18th European Conference on Antennas and Propagation (EuCAP) 2024, 2024-03-18 - 2024-03-22, Glasgow, Schottland. doi: 10.23919/EuCAP60739.2024.10500948. ISBN 978-883129909-1. ISSN 2164-3342.
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Offizielle URL: https://elib.dlr.de/201925/
Kurzfassung
In multipath assisted positioning schemes, the spatial information contained in multipath propagation of wireless radio systems is exploited for localization of a receiver. However, such schemes suffer from a high computational complexity. We have proposed before a fingerprinting localization system based on multipath assisted positioning, where the fingerprinting database is encoded in a deep neural network (DNN). Within this paper, we propose and evaluate a mixture density network approach in our DNN to analyze ambiguities among fingerprints at different locations. We show that our scheme shows a very good positioning performance with an error of around 2m for the most part, while having a low computational complexity in the online stage and a very low effort compared to traditional fingerprinting schemes.
elib-URL des Eintrags: | https://elib.dlr.de/204244/ | ||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vortrag) | ||||||||||||||||
Titel: | Mixture Density Networks for Multipath Assisted Positioning-based Fingerprinting | ||||||||||||||||
Autoren: |
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Datum: | Mai 2024 | ||||||||||||||||
Erschienen in: | 18th European Conference on Antennas and Propagation, EuCAP 2024 | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Ja | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
DOI: | 10.23919/EuCAP60739.2024.10500948 | ||||||||||||||||
ISSN: | 2164-3342 | ||||||||||||||||
ISBN: | 978-883129909-1 | ||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||
Stichwörter: | cooperative Channel-SLAM, deep learning, fingerprinting, localization, mixture density network, simultaneous localization and mapping | ||||||||||||||||
Veranstaltungstitel: | 18th European Conference on Antennas and Propagation (EuCAP) 2024 | ||||||||||||||||
Veranstaltungsort: | Glasgow, Schottland | ||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||
Veranstaltungsbeginn: | 18 März 2024 | ||||||||||||||||
Veranstaltungsende: | 22 März 2024 | ||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||
HGF - Programmthema: | Kommunikation, Navigation, Quantentechnologien | ||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||
DLR - Forschungsgebiet: | R KNQ - Kommunikation, Navigation, Quantentechnologie | ||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Projekt HIGAIN [KNQ] | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Kommunikation und Navigation > Nachrichtensysteme | ||||||||||||||||
Hinterlegt von: | Ulmschneider, Markus | ||||||||||||||||
Hinterlegt am: | 17 Mai 2024 09:15 | ||||||||||||||||
Letzte Änderung: | 22 Mai 2024 14:26 |
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