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M. Sc. Finn RöhrdanzRoom F-006Kaiserstraße 2, 24143 Kiel, Germany Phone: +49 431 880-6144 E-mail: ORCID: |
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Research: Underwater signal transmission
The transmission and reception of signals in the underwater environment impose some challenges due to the behavior of the underwater channel. For the transmission of signals over large ranges, the underwater channel is only suitable for acoustic signal transmission. The attenuation, multipath signal pathway as well as slow speed of sound in water imposes some major challenges. The aim of the research is to overcome the challenges by means of signal processing techniques. The transmitted signal is affected by noise and artifacts due to the multipath environment. Restoring the transmitted signals is essential to be able to perform communication between underwater nodes. Typical examples are the communication with divers and submarines. Both traditional signal processing and newer approaches such as neural networks are part of the research.
Related topics:
- Neural networks
- Underwater channel
- Noise reduction
Further interests:
- SONAR
- 3D modeling and design
- Neural networks
Short CV
| Time span | Details |
|---|---|
| 2023 - current | Research Assistant at the Christian-Albrechts-Universität zu Kiel, Kiel, Germany |
| 2021 - 2023 | M.Sc. in Electrical Engineering and Information Theory Christian-Albrechts-Universität zu Kiel, Germany |
| 2020 - 2021 | Moeller Operating Engineering (Expert for the certification of combined heat and powerplants) |
| 2015 - 2021 | B.Sc. in Electrical Engineering and Information Theory Christian-Albrechts-Universität zu Kiel, Germany |
Publications


M. Driesen, R. Burgardt, C. Kanarski, F. Röhrdanz, K. Karatziotis, K. Gussow, L. Schirmer, V. Boichenko, G. Schmidt: A Generic Acoustic and System-Level Modeling Framework for Multistatic SONAR Systems, Proc. DAGA, Germany, 2026, doi: 10.71568/daga2026.102


K. Gussow, D. Wagner, M. Driesen, C. Kanarski, F. Röhrdanz, K. Karatziotis, L. Schirmer, R. Burgardt, V. Boichenko, G. Schmidt: Rauschreduzierung in SONAR-Lagebildern, Proc. DAGA, Germany, 2026, doi: 10.71568/daga2026.071


K.Karatziotis, K.Gussow, V.Boichenko, C.Kanarsaki, M.Driesen, F.Röhrdanz, L.Schirmer, R.Burgard, G.Schmidt: Verteilte faseroptische Sensoren in der Hydroakustik, Proc. DAGA, Germany, 2026, doi: 10.71568/daga2026.059


H. Eikens, K. Krüger, F. Röhrdanz, G. Schmidt: Neural-Network Based Auditory Feedback Modulation in Real-Time, 2025 IEEE International Professional Communication Conference


K. Karatziotis, K. Gussow, V. Boichenko, C. Kanarsaki, B. Kaulen, F. Kühne, M. Driesen, F. Röhrdanz, L. Schirmer, R. Burgardt, G. Schmidt: Classification of Vessel Types by Means of Machine Learning, Proc. DAS | DAGA, Denmark, 2025


C. Kanarski, B. Kaulen, F. Kühne, M. Driesen, K. Gussow, F. Röhrdanz, K. Karatziotis, L. Schirmer, R. Burgardt, V. Boichenko, G. Schmidt: Charakterisierung der Dämpfungseigenschaften von akustischen Dämmmatten in einer Unterwassertankumgebung, Proc. DAS | DAGA, Denmark, 2025


L. Schirmer, M. Boueke, C. Kanarsaki, B. Kaulen, F. Kühne, M. Driesen, F. Röhrdanz, K. Karatziotis, K. Gussow, V. Boichenko, R. Burgardt, G. Schmidt: Acoustic-magnetic Signatures of Vessels, Proc. DAS | DAGA, Denmark, 2025, doi: 10.71568/daga2026.233


M. Driesen, F. Kühne, K. Gussow, B. Kaulen, C. Kanarski, F. Röhrdanz, K. Karatziotis, L. Schirmer, R. Burgardt, V. Boichenko, E. Mackensen, D. Meyners, E. Quandt: Selected System Aspects for the Design of SONAR Nodes in a Multistatic Surveillance Network, Proc. DAS | DAGA, Denmark, 2025, doi: 10.71568/dasdaga2025.424


K. Gussow, B. Kaulen, F. Kühne, C. Kanarski, F. Röhrdanz, M. Driesen, K. Karatziotis, L. Schirmer, R. Burgardt, V. Boichenko, E. Mackensen, D. Meyners, E. Quandt, G. Schmidt: Design of a Cost Function for the Evaluation of Different SONAR Modes, Proc. DAS | DAGA, Denmark, 2025, doi: 10.71568/dasdaga2025.070


V. Boichenko, C. Kanarski, B. Kaulen, F. Kühne, M. Driesen, K. Gussow, F. Röhrdanz, K. Karatziotis, L. Schirmer, R. Burgardt, G. Schmidt: Real-time Framework for SONAR Ocean Simulation, Proc. DAS | DAGA, Denmark, 2025, , doi: 10.71568/dasdaga2025.227


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

Since early summer, Julius Braun-Dullaeus, David Thesing and Martin Semmelrodt have joined the DSS team, bringing expertise in embedded systems, sensor hardware and physics. Julius has been connected to DSS throughout his studies, working on stochastic modeling and underwater signal processing. His current work focuses on a drone-based system for localizing and classifying magnetic objects. David continues his master’s research at DSS, combining thin-film sensor development with real-time signal processing for 3D SONAR beamforming. Martin joined in August after completing his master’s degree in theoretical physics. Having first encountered DSS through a collaboration at Müller-BBM, he now works on drone-based magnetic detection of underwater objects and will take over the project from Julius in January.