M. Sc. Bastian Kaulen

Room D-019
Kaiserstraße 2, 24143 Kiel, Germany
Phone: +49 431 880-6132
Telefax: +49 431 880-6128
E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.


Research: Real-time Signal Processing for Piezoelectric Thin-layer Sensors

In current systems for localization of underwater objects often one transmitting and multiple receiving elements are used to achieve a certain directivity for detection. Conventional piezoelectric ceramics receiving elements are generally large and expensive. During the last years the new piezoelectric thin-layer sensors, developed in collaborative research groups at Kiel University, allow an increased sensor density due to their low cost and their smaller installation space.

One possible application is the installation in a towed sonar. However, the speed of the towing process is limited by the occurrence of disturbances due to the passing water. These disturbances increase exponentially with speed. The cost and space savings of the novel hydrophones not only allow a more precise characterization of the signal degradation due to movement in the water, but could also be used to estimate the occurring disturbances more accurate and thus select less disturbed sensors.

The challenging part arises, because these sensors also record mechanical vibrations, whereby the desired signals are superimposed by unwanted signal components. To reduce this coupling effect and increase the usability of such sensors in measurement environments signal processing techniques are applied. With the help of a temporal-spatial filtering the noise could be minimized directly. In addition to the construction of spatially highly sampled arrays, the equalization of the individual sensors is also important. The sensitivity of the sensors differs depending on the frequency range and can be adjusted by an adapted signal processing.

Related topics:

  • Hydroacoustics
  • Flow noise cancellation and suppression
  • Signal combination
  • Hardware design


Further interests:

  • Real-time digital signal processing
  • Array design
  • Channel / environment simulation


Short CV

Time span Details
2019 - current Research assistant at the Christian-Albrechts-Universität zu Kiel, Kiel, Germany
2017 - 2018 M.Sc. in Electrical and Information Engineering at the Christian-Albrechts-Universität zu Kiel, Kiel, Germany
2016 - 2017 Internship (R&D) at Dräger Safety AG & Co. KGaA, Lübeck, Germany
2012 - 2017 B.Sc. in Electrical Engineering and Business Administration at the Christian-Albrechts-Universität zu Kiel, Kiel, Germany




    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


    N. Neumann, B. Kaulen, S. Christensen, G. Schmidt: Deep Reinforcement Learning for Cognitive SONAR Systems, Proc. DAGA, Austria, 2021


    B. Kaulen, A. Namenas, G. Schmidt: Entwurf und Implementierung einer kognitiven Steuereinheit für ein Echtzeit-MIMO-SONAR-System, Proc. DAGA, Germany, 2019


    T. Hübschen, B. Kaulen, M. Yurdakul, G. Schmidt: Sprachqualität in drahtlosen Ad-Hoc-Netzwerken, Proc. DAGA, Germany, 2019


    T. Hübschen, M. Gimm, B. Kaulen, G. Mittag, S. Möller, G. Schmidt: Echtzeit-Rahmenwerk zur Unterstützung der Evaluierung von Sprachkommunikationssystemen, Proc. DAGA 2018 (online access)