Stammdaten

Titel: A Real-time Electromagnetic Localization System
Untertitel:
Kurzfassung:

This paper presents a fixed location pose estimation system based on electromagnetic fields. The sensor system is comprised of an electromagnetic field exciter mounted on a moveable platform and a stationary magnetic field sensor. The sensed data is used to estimate the relative pose of the exciter, and consequently, the pose of the moving platform. The proposed systems’ accuracy increases with decreasing distance and can consequently be helpful for landing scenarios or to be fused with existing approaches showing opposing characteristics. Conductive objects in the vicinity of the sensor system, potentially the target platform itself, cause a change of magnetic field due to induced eddy currents. The introduced concept analytically models known conductive and ferromagnetic structures while maintaining real-time capabilities as required in many tracking applications. The system concept consists of analog front-ends, an analog signal conditioning stage, sampling followed by digital signal processing, and an Extended Kalman Filter that continuously updates the pose estimate. The performance of the developed concept is verified using an experimental demonstrator. It is shown that electromagnetic field-based pose estimation can act as a close-range pose measurement system while providing real-time functionality.

Schlagworte:
Publikationstyp: Beitrag in Proceedings (Autorenschaft)
Erscheinungsdatum: 30.06.2022 (Online)
Erschienen in: 2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
zur Publikation
 ( IEEE; )
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: S. 1 - 6

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Erscheinungsdatum: 30.06.2022
ISBN (e-book): -
eISSN: -
DOI: http://dx.doi.org/10.1109/I2MTC48687.2022.9806498
Homepage: https://ieeexplore.ieee.org/abstract/document/9806498
Open Access
  • Online verfügbar (nicht Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Intelligente Systemtechnologien
Universitätsstraße 65-67
9020 Klagenfurt am Wörthersee
Österreich
   hubert.zangl@aau.at
http://www.uni-klu.ac.at/tewi/ict/sst/index.html
zur Organisation
Universitätsstraße 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 202036 - Sensorik
Forschungscluster
  • Selbstorganisierende Systeme
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Sensor- und Aktortechnik

Kooperationen

Keine Partnerorganisation ausgewählt

Beiträge der Publikation

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