On the Performance of Holographic Extended Kalman Filters for Localization in Industrial Automation

Lipka M, Sippel E, Brückner S, Vossiek M (2020)


Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2020

Publisher: 2020 German Microwave Conference (GeMiC)

City/Town: Cottbus, Germany

Pages Range: 2167-8022

ISBN: 978-3-9820-3971-8

Abstract

Microwave localization systems are increasingly popular for the proceeding automation of logistics and modern factories, allowing for robust tracking of freely moving objects and workers. To enable reliable live-tracking, accurate positioning algorithms with high update rates are desirable. For this purpose, the holographic extended Kalman filter (HEKF) was presented in [1], combining low computational effort and an outstanding localization accuracy in the centimeter range. In this paper, the performance of the HEKF in a 24-GHz frequency modulated continuous wave system is evaluated. The impact on the accuracy of the evaluation frequency of the phase, reduced oversampling, and non-uniform movements are also investigated.

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How to cite

APA:

Lipka, M., Sippel, E., Brückner, S., & Vossiek, M. (2020). On the Performance of Holographic Extended Kalman Filters for Localization in Industrial Automation. In IEEE (Eds.), Proceedings of the "Proceedings of the 2020 German Microwave Conference (GeMiC)" (pp. 2167-8022). Cottbus, Germany: 2020 German Microwave Conference (GeMiC).

MLA:

Lipka, Melanie, et al. "On the Performance of Holographic Extended Kalman Filters for Localization in Industrial Automation." Proceedings of the "Proceedings of the 2020 German Microwave Conference (GeMiC)" Ed. IEEE, Cottbus, Germany: 2020 German Microwave Conference (GeMiC), 2020. 2167-8022.

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