Ulmschneider, Markus und Gentner, Christian und Dammann, Armin (2022) The Future of Indoor Positioning: A Simplified Method Combining Two Technologies. Inside GNSS. Gibbons Media and Research, LLC. ISSN 1559-503X. (im Druck)
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Offizielle URL: https://insidegnss.com/the-future-of-indoor-positioning-a-simplified-method-combining-two-technologies/
Kurzfassung
In multipath assisted positioning, multipath components (MPCs) are regarded as line-of-sight (LoS) signals from virtual transmitters. The locations of the physical and the virtual transmitters can be estimated jointly with the user position using simultaneous localization and mapping (SLAM). We have previously introduced such an approach called cooperative Channel-SLAM, where multiple users cooperatively estimate the locations of physical and virtual transmitters. Such schemes typically suffer from a high computational complexity due to expensive signal processing, though. Within this paper, we propose a novel approach that combines multipath assisted positioning with fingerprinting. In the offline stage, multiple users estimate their own locations with cooperative Channel-SLAM. With the channel estimates and the estimated user positions from cooperative Channel-SLAM, a deep neural network (DNN) is trained. In the online stage, users can localize themselves making use of the DNN. In our approach, the positioning error is in the same order of magnitude as for cooperative Channel-SLAM, while the computational complexity is reduced drastically.
elib-URL des Eintrags: | https://elib.dlr.de/191392/ | ||||||||||||||||
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Dokumentart: | Zeitschriftenbeitrag | ||||||||||||||||
Titel: | The Future of Indoor Positioning: A Simplified Method Combining Two Technologies | ||||||||||||||||
Autoren: |
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Datum: | November 2022 | ||||||||||||||||
Erschienen in: | Inside GNSS | ||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||
Open Access: | Nein | ||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||
In SCOPUS: | Nein | ||||||||||||||||
In ISI Web of Science: | Nein | ||||||||||||||||
Verlag: | Gibbons Media and Research, LLC | ||||||||||||||||
ISSN: | 1559-503X | ||||||||||||||||
Status: | im Druck | ||||||||||||||||
Stichwörter: | cooperative Channel-SLAM; deep neural network; multipath assisted positioning; SLAM | ||||||||||||||||
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 Navigation 4.0 | ||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||
Institute & Einrichtungen: | Institut für Kommunikation und Navigation > Nachrichtensysteme | ||||||||||||||||
Hinterlegt von: | Ulmschneider, Markus | ||||||||||||||||
Hinterlegt am: | 08 Dez 2022 19:12 | ||||||||||||||||
Letzte Änderung: | 29 Mär 2023 00:03 |
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