Enhanced tracer particle detection in dynamic bulk systems based on polarimetric radar signature correlation
- This contribution focuses on the detection of tracer particles within non-homogeneous bulk media, aiming to enhance insights into particulate systems. Polarimetric radar measurements are employed, utilizing cross-polarizing channels in order to mitigate interference from bulk media reflections. To distinguish the tracer particle in the measurements, a resonant cross-polarizing structure is constructed, facilitating the isolation of frequency signatures from the surrounding bulk clutter. In addition to characterizing the bulk and tracer components, this study provides a detailed presentation and discussion of the measurement setup, along with the employed signal processing methods. The effectiveness of the proposed methods is demonstrated through comprehensive measurements, where a tracer particle is systematically positioned at various locations. The results affirm the feasibility and efficacy of the approach, highlighting its applicability for enhanced dynamic monitoring in particulate systems within industrial processes.
Author: | Birk HattenhorstORCiDGND, Nicholas KarschGND, Thomas MuschGND |
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URN: | urn:nbn:de:hbz:294-113918 |
DOI: | https://doi.org/10.3390/s24092673 |
Parent Title (English): | Sensors |
Publisher: | MDPI |
Place of publication: | Basel |
Document Type: | Article |
Language: | English |
Date of Publication (online): | 2024/11/08 |
Date of first Publication: | 2024/04/19 |
Publishing Institution: | Ruhr-Universität Bochum, Universitätsbibliothek |
Tag: | Open Access Fonds particulate system; polarimetry; radar; tracer particle; tracking |
Volume: | 24 |
Issue: | 9, Article 2673 |
First Page: | 2673-1 |
Last Page: | 2673-23 |
Note: | Article Processing Charge funded by the Deutsche Forschungsgemeinschaft (DFG) and the Open Access Publication Fund of Ruhr-Universität Bochum. |
Institutes/Facilities: | Lehrstuhl für elektronische Schaltungstechnik |
Dewey Decimal Classification: | Technik, Medizin, angewandte Wissenschaften / Elektrotechnik, Elektronik |
open_access (DINI-Set): | open_access |
faculties: | Fakultät für Elektrotechnik und Informationstechnik |
Licence (English): | Creative Commons - CC BY 4.0 - Attribution 4.0 International |