MIMO Radar-Based Rotation Parameter Estimation of Non-Cooperative Space Debris Objects
Kammel C, Ullmann I, Vossiek M (2023)
Publication Type: Conference contribution
Publication year: 2023
Publisher: Institute of Electrical and Electronics Engineers Inc.
Book Volume: 2023-May
Conference Proceedings Title: Proceedings of the IEEE Radar Conference
Event location: San Antonia, TX
ISBN: 9781665436694
DOI: 10.1109/RadarConf2351548.2023.10149661
Abstract
This paper presents an approach to determine the rotation parameters of a non-cooperative space debris object by extracting, localizing and tracking the target's dominant scatterers with a millimeter-wave MIMO radar system. An unscented Kalman filter tracks the scatterer positions over several processing intervals and is therefore able to estimate the rotation period of the target as well as the position and orientation of its rotation axis. On the one hand, the proposed algorithm is validated by realistic simulations. On the other hand, the filter performance under different rotation parameters is evaluated by different measurements in the laboratory.
Authors with CRIS profile
Christoph Kammel
Lehrstuhl für Hochfrequenztechnik
Ingrid Ullmann
Lehrstuhl für Hochfrequenztechnik
Martin Vossiek
Lehrstuhl für Hochfrequenztechnik
Additional Organisation(s)
How to cite
APA:
Kammel, C., Ullmann, I., & Vossiek, M. (2023). MIMO Radar-Based Rotation Parameter Estimation of Non-Cooperative Space Debris Objects. In Proceedings of the IEEE Radar Conference. San Antonia, TX, US: Institute of Electrical and Electronics Engineers Inc..
MLA:
Kammel, Christoph, Ingrid Ullmann, and Martin Vossiek. "MIMO Radar-Based Rotation Parameter Estimation of Non-Cooperative Space Debris Objects." Proceedings of the 2023 IEEE Radar Conference, RadarConf23, San Antonia, TX Institute of Electrical and Electronics Engineers Inc., 2023.
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