M. Sc. Frederik KühneRoom F-006 |
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Research: Real-time Signal Processing of Cognitive MIMO-SONAR Systems
Current SONAR systems often work with only a single, powerful projector or at most with multiple projectors that radiate the same, phase adjusted signals. In order to improve the setup, MIMO-techniques can be applied, such that signals radiated by multiple projectors can be distinguished and processed accordingly at the receiving side. Therefore, multiple orthogonal signals have to be designed in a robust way, such that their properties remain unchanged by the application environment. For that, not only possible non-linearities in the used hardware have to be considered, but also the path of the signal under water, including diffractions and reflections.
The resulting multistatic SONAR system yields a greatly improved angular resolution due to the multiple, independently processable projector signals. Beamforming algorithms can be shifted towards the receiver side and can be parallelized efficiently, resulting in much faster detection times.
For the classification of the detected objects, nonlinear approaches are to be tested. The design and training of neural networks is expected to yield results fast and more efficiently than conventional methods.
Related topics:
- Signal design
- Beamforming
- Neural networks
- MIMO techniques
Further interests:
- Real-time digital signal processing
- Hardware developement
- Detection & tracking
Short CV
Time span | Details |
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2020 - current | Research assistant at the Christian-Albrechts-Universität zu Kiel, Kiel, Germany |
2018 - 2020 | M.Sc. in Electrical Engineering and Business Administration Christian-Albrechts-Universität zu Kiel, Germany |
2017 - 2018 | Internship (R&D) at Daimler AG, Stuttgart, Germany |
2014 - 2018 | B.Sc. in Electrical Engineering and Business Administration Christian-Albrechts-Universität zu Kiel, Germany |
Publications
F. Kühne, B. Kaulen, C. Kanarski, F. Röhrdanz, K. Gussow, G. Schmidt: Detektion und Klassifikation von Objekten aus von SONAR-Systemen erstellten Plots mithilfe von künstlicher Intelligenz, Proc. DAGA, Germany, 2024
K. Gussow, B. Kaulen, F. Kühne, C. Kanarski, F. Röhrdanz, M. Driesen, S. Rautenberg, J. Abshagen, E. Mackensen, D. Meyners, E. Quandt, G. Schmidt: Untersuchung des Einflusses verschiedener Array- Öffnungswinkel bei MIMO-SONAR-Systemen, Proc. DAGA, Germany, 2024
B. Kaulen, F. Kühne, O. Wisch, C. Kanarski, K. Gussow, G. Schmidt: Entwurf und Konzeptionierung eines Mehrkanal-Wiener-Filters in einem aktiven SONAR-System, Proc. DAGA, Germany, 2023
C. Kanarski, B. Kaulen, F. Kühne, O. Wisch, K. Gussow, S. Christensen, G. Schmidt: Deep Reinforcement Learning for Autonomous SONAR Port Monitoring, Proc. DAGA, Germany, 2023
F. Kühne, O. Wisch, B. Kaulen, C. Kanarski, K. Gussow, G. Schmidt: Entwurf einer Signalverarbeitung für räumlich verteilte MIMO-SONAR-Systeme, Proc. DAGA, Germany, 2023
M. Gimm, F. Kühne, G. Schmidt: A Multichannel Spatial Hands-Free Application for In-Car Communication Systems, in H. Abut, G. Schmidt, K. Takeda, J. Lambert and J. Hansen (eds.), Towards Human-Vehicle Harmonization, de Gruyter, 2023.
K. Gussow, B. Kaulen, O. Wisch, F. Kühne, C. Kanarski, H. Lewitz, E. Quandt, G. Schmidt: Entwurf und Implementierung einer schnellen 3D-Direktivitätsmessung und automatischen Entzerrung von akustischen Schallwandlern, Proc. DAGA, Germany, 2023
B. Kaulen, H. Lewitz, O. Wisch, F. Kühne, G. Schmidt: Entwurf und Implementierung einer schnellen Frequenzgangmessung und automatischer Entzerrung von akustischen Schallwandlern, Proc. DAGA, Germany, 2022
F. Kühne, B. Kaulen, O. Wisch, G. Schmidt: Entwurf und Implementierung einer modularen Softwarearchitektur für kognitive verteilte Echtzeit-MIMO-SONAR-Systeme, Proc. DAGA, Germany, 2022
O. Wisch, F. Kühne, B. Kaulen, G. Schmidt: Geräuschreduktion und Entzerrung für gemischt analog-digitale Sprachübertragungen im Unterwasserkanal, Proc. DAGA, Germany, 2022
B. Kaulen, F. Kühne, H. Lewitz, A. Namenas, O. Wisch, E. Quandt, G. Schmidt: SONAR-Verfahren zur Erkennung und/oder Positions- und/oder Geschwindigskeitsbestimmtung, EP 22 71 1473.3, date of filing: 13.03.2022