Kögel, Tobias
Tobias Kögel, M. Sc.
Education
- B.Sc. in EEI from 2014 to 2018
- M.Sc. in EEI from 2018 to 2020
- Doctoral Candidate at LHFT since 10.2020
Research Areas
- Radar Localization
- Radar Signal Processing
- Software Defined Radio
- Switched Injection Locked Oscillators (SILOs)
- UHF-RFID
Thesis
- Currently my focus is radar localization. Therefore, I am always looking for students who want to develop hardware. You will learn to design your own circuit, which you will first simulate, realize on a printed circuit board and then characterize.
- Furthermore, I am looking for students who are interested in radar signal processing in hardware. Here the full signal processing chain from signal synthesis to the receive path should be implemented in an FPGA. Since this is a very broad field, previous knowledge in FPGA programming (VHDL, Verilog) would be helpful.
- Finally, I offer software related topics in Python. Here the focus is on the design of radar simulations and the development of localization algorithms based on radar data (often based on Kalman filters).
If you are interested in one of the topics in the course of a Hiwi activity/bachelor thesis/research internship/master thesis, then feel free to contact me via mail.
Publications
- P. Fenske, S. Brückner, T. Kögel and M. Vossiek, "A Novel Concept for Vehicle 2D Pose Estimation Using Automotive SIMO FMCW Radar Sensors in a Bistatic Vehicle-to-Infrastructure Network", in Proceedings of the 2024 IEEE Radar Conference (RadarConf24), Denver, Juni, 2024.
DOI: 10.1109/RadarConf2458775.2024.10548072 - T. Kögel, A. Scheder, M. Meyl, S. Sohr and M. Vossiek, "It's Tee Time: An Ultrabroadband Componentless Bias Tee: A Planar Ultrabroadband Componentless Bias Tee in Microstrip Line Technology", IEEE Microwave Magazine, vol. 25, no. 6, pp. 65-71, Juni, 2024.
DOI: 10.1109/MMM.2024.3378613 - P. Fenske, T. Kögel, R. Ghasemi and M. Vossiek, "Constellation Estimation, Coherent Signal Processing, and Multiperspective Imaging in an Uncoupled Bistatic Cooperative Radar Network", IEEE Journal of Microwaves, pp. 1-15, Mai, 2024.
DOI: 10.1109/JMW.2024.3393120 - R. Ghasemi, T. Kögel, P. Fenske, R. Schober and M. Vossiek, "Time and Frequency Synchronization for Real-Time Wireless Digital Communication Systems", in Proceedings of the 2024 15th German Microwave Conference, GeMiC 2024, pp. 13-16, Duisburg, 2024.
DOI: 10.23919/GeMiC59120.2024.10485238 - P. Fenske, T. Kögel, A. Scheder, K. Root, C. Carlowitz and M. Vossiek, "An Active Self-Interference Cancellation Coupler with 60 dB Isolation Applied in a 24 GHz SFCW Radar", in Proceedings of the 2023 IEEE/MTT-S International Microwave Symposium - IMS 2023, pp. 517 - 520, San Diego, CA, USA, Juli, 2023.
DOI: 10.1109/IMS37964.2023.10187937 - P. Fenske, A. Scheder, T. Kögel, K. Root, M. Vossiek and C. Carlowitz, "Self-Interference Leakage Estimation 'N' Cancellation Element: Design of an Active Self-Interference Cancellation Coupler", IEEE Microwave Magazine, vol. 24, no. 6, pp. 68-75, Juni, 2023.
DOI: 10.1109/MMM.2023.3256380 - G. vom Bögel et al., "6GEM Perspective on Joint Communication and Sensing", in Proceedings of the WSA & SCC 2023; 26th International ITG Workshop on Smart Antennas and 13th Conference on Systems, Communications, and Coding, pp. 398 - 403, Braunschweig, Germany, Februar, 2023.
- 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 - E. Sippel, M. Hehn, T. Kögel, P. Gröschel, A. Hofmann, S. Brückner, J. Geiß, R. Schober and M. Vossiek, "Quasi-Coherent Phase-Based Localization and Tracking of Incoherently Transmitting Radio Beacons", IEEE Access, vol. 9, pp. 133229-133239, September, 2021.
DOI: 10.1109/ACCESS.2021.3115563 - M. Eppel, H. Milosiu, T. Kögel and F. Oehler, "A 780-nW Frequency-Agile Fully Integrated Super-Regenerative Multi-Channel UHF Receiver for Continuous Spectral Monitoring", pp. 532-535, Januar, 2019.
DOI: 10.1109/WISNET.2019.8711798