Precise local-positioning for autonomous situation awareness in the Internet of Things

Kirsch F, Miesen R, Vossiek M (2014)


Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2014

Publisher: Institute of Electrical and Electronics Engineers Inc.

Article Number: 6848674

Event location: Tampa, FL

ISBN: 9781479938698

DOI: 10.1109/MWSYM.2014.6848674

Abstract

This paper reviews different wireless local positioning principles and explains the interaction between local positioning and the Internet of Things (IOT). The principle, performance and use of recent local positioning systems in the context of the IOT are shown in detail for typical applications. The first application is the accurate real-time localization of transportation vehicles using local positioning radar. The second application is the loading state characterization of goods in the proximity of a forklift enabling fully automated warehouse management. The third application is the dynamic localization of UHF-RFID tags with a handheld reader, which provides helpful augmented reality for logistics personnel. The final application is the real-time localization of tools for production monitoring. The developed ultrawideband (UWB) locating system is based on a pulsed frequency modulated continuous wave (FMCW) radar principle. By using assisting inertial sensors and advanced fusion algorithms, highly accurate 3D localization was achieved even in complex industrial environments with dense multipath channels and shadowing. © 2014 IEEE.

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How to cite

APA:

Kirsch, F., Miesen, R., & Vossiek, M. (2014). Precise local-positioning for autonomous situation awareness in the Internet of Things. In Proceedings of the 2014 IEEE MTT-S International Microwave Symposium, IMS 2014. Tampa, FL: Institute of Electrical and Electronics Engineers Inc..

MLA:

Kirsch, Fabian, Robert Miesen, and Martin Vossiek. "Precise local-positioning for autonomous situation awareness in the Internet of Things." Proceedings of the 2014 IEEE MTT-S International Microwave Symposium, IMS 2014, Tampa, FL Institute of Electrical and Electronics Engineers Inc., 2014.

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