Kammel, Christoph
Christoph Kammel, M. Sc.
Department of Electrical-Electronic-Communication Engineering
Institute of Microwaves and Photonics (LHFT)
Cauerstraße 9
91058 Erlangen
- Phone number: +49 9131 85-27236
- Fax number: +49 9131 85-27212
- Email: christoph.kammel@fau.de
Education
- Doctoral Candidate at LHFT since 05/2020
- M.Sc. in EEI from 04/2018 to 03/2020
- B.Sc. in EEI from 10/2014 to 03/2018
Research Areas
- Radar signal processing
- Radar imaging and target tracking in space sector
- Radar-based rotation parameter estimation of space debris
- RFID indoor localization
Thesis
If you are interested in theses in the field of space-related radar signal processing / radar imaging, feel free to contact me!
Publications
- C. Kammel, I. Ullmann and M. Vossiek, "Motion Parameter Estimation of Free-Floating Space Debris Objects Based on MIMO Radar", IEEE Transactions on Radar Systems, vol. 1, pp. 681-697, November, 2023.
DOI: 10.1109/TRS.2023.3333434 - J. Bräunig, V. Wirth, C. Kammel, C. Schüßler, I. Ullmann, M. Stamminger and M. Vossiek, "An Ultra-Efficient Approach for High-Resolution MIMO Radar Imaging of Human Hand Poses", IEEE Transactions on Radar Systems, pp. 1-13, August, 2023.
DOI: 10.1109/TRS.2023.3309574 - C. Kammel, I. Ullmann and M. Vossiek, "MIMO Radar-Based Rotation Parameter Estimation of Non-Cooperative Space Debris Objects", in Proceedings of the Proceedings of the IEEE Radar Conference, San Antonia, TX, 2023.
DOI: 10.1109/RadarConf2351548.2023.10149661 - C. Kammel, T. Kögel, M. Gareis and M. Vossiek, "A Cost-Efficient Hybrid UHF RFID and Odometry-Based Mobile Robot Self-Localization Technique With Centimeter Precision", IEEE Journal of Radio Frequency Identification, pp. 1-1, Juni, 2022.
DOI: 10.1109/JRFID.2022.3186852