Kammel, Christoph

Christoph Kammel, M. Sc.

Department of Electrical-Electronic-Communication Engineering
Institute of Microwaves and Photonics (LHFT)

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

  • J. Bräunig, S. Heinrich, B. Coppers, C. Kammel, V. Wirth, M. Stamminger, S. Leyendecker, A. Liphardt, I. Ullmann and M. Vossiek, "A Radar-Based Concept for Simultaneous High-Resolution Imaging and Pixel-Wise Velocity Analysis for Tracking Human Motion", IEEE Journal of Microwaves, vol. 4, pp. 639-652, Oktober, 2024.
    DOI: 10.1109/JMW.2024.3453570
  • A. Fröhlich, D. Mejdani, L. Engel, J. Bräunig, C. Kammel, M. Vossiek and I. Ullmann, "A Millimeter-Wave MIMO Radar Network for Human Activity Recognition and Fall Detection", in Proceedings of the 2024 IEEE Radar Conference (RadarConf24), Denver, CO, Mai, 2024.
    DOI: 10.1109/RadarConf2458775.2024.10548702
  • 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