Project B2

Digital Signal Processing

The objective of project B2 is the improvement of magnetoelectric (ME) sensor systems by means of digital signal processing: A parallel readout of a single sensor combined with an adaptive signal combination, that enhances the signal-to-noise ratio, is possible. For optimal usage of the dynamical range of the analogue-to-digital converters a digitally controlled analog signal cancellation is investigated. Cancellation schemes that are using external noise reference sensors is researched for further improvements. Finally, to use the ME sensor systems in unshielded environments, so-called anti-field approaches are investigated.


Gerhard Schmidt
Prof. Dr.-Ing.
Lead of projects B2, B6, and Z2
Jens Reermann
M. Sc.
Doctoral researcher


Role within the Collaborative Research Centre

The project B2 is first of all strongly linked with the analogue signal processing project B1 and the sensor producing projects (e.g. A4), since a digitally controlled analogue cancellation approach and specifically tailored readout scheme for ΔE-effect and other sensor principles are the main focus of the project. However, aside from these collaborations, strong interaction is planned with several other projects. The following table shows details about the planned cooperation of the project B2 within the CRC 1261:

A2, A3, A4, A7: Setup of specifically tailored readout schemes for the sensor principles investigated in these projects. 
B1: This project will cooperate very closely with B1 in terms of improving the ME sensor front-ends.
B6: Cooperation in the design and implementation of the real-time framework for medical applications.
B3, B5, B6, B7 Utilization of the real-time framework for measurement purposes; feedback about possible improvements.
Z1,Z2: Passing the real-time system to this project for enhanced measurements.

The project B2 participates in the focus groups F1 “Modeling”, F2 “Sensor Concepts”, and F3 “Biomagnetic Signal Analysis”.

Project-related Publications

P. Durdaut, J. Reermann, S. Zabel, C. Kirchhof, E. Quandt, F. Faupel, G. Schmidt, R. Knöchel, and M. Höft: Modeling and Analysis of Noise Sources for Thin-Film Magnetoelectric Sensors Based on the Delta-E Effect; IEEE Transactions on Instrumentation and Measurement, vol. 66, no. 10, pp. 2771-2779, October 2017;

P. Durdaut, S. Salzer, J. Reermann, V. Röbisch, J. McCord, D. Meyners, E. Quandt, G. Schmidt, R. Knöchel, and M. Höft: Improved Magnetic Frequency Conversion Approach for Magnetoelectric Sensors; IEEE Sensors Letters, vol. 1, no. 3, June 2017;

P. Durdaut, S. Salzer, J. Reermann, V. Röbisch, P. Hayes, A. Piorra, D. Meyners, E. Quandt, G. Schmidt, R. Knöchel, M. Höft: Thermal-Mechanical Noise in Resonant Thin-Film Magnetoelectric Sensors, IEEE Sensors Journal, vol. 17, no. 8, pp. 2338-2348, April 2017;

J. Reermann, C. Bald, S. Salzer, P. Durdaut, A. Piorra, D. Meyners, E. Quandt, M. Höft, and Gerhard Schmidt: Comparison of Reference Sensors for Noise Cancellation of Magnetoelectric Sensors, IEEE Sensors 2016, Orlando, November 2016

S. Zabel, J. Reermann, S. Fichtner, C. Kirchhof, E. Quandt, B. Wagner, G. Schmidt, and F. Faupel: Multimode Delta-E Effect Magnetic Field Sensors with Adapted Electrodes; Appl. Phys. Lett. 108, 222401 (2016);

Financial Support

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The Collaborative Research Center 1261 is funded by the German Research Foundation (DFG).

Upcoming Events

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Recent Publications

J. Reermann, P. Durdaut, S. Salzer, T. Demming,A. Piorra, E. Quandt, N. Frey, M. Höft, and G. Schmidt: Evaluation of Magnetoelectric Sensor Systems for Cardiological Applications, Measurement (Elsevier), ISSN 0263-2241,, 2017

S. B. Hrkac, C. T. Koops, M. Abes, C. Krywka, M. Müller, M. Burghammer, M. Sztucki, T. Dane, Kaps, Y. K. Mishra,R. Adelung, J. Schmalz, M. Gerken, E. Lage, C. Kirchhof, E. Quandt, O. M. Magnussen, and B. M. Murphy: Tunable Strain in Magnetoelectric ZnO Microrod Composite Interfaces; ACS Appl. Mater. Interfaces, 2017, 9 (30), pp 25571–25577; DOI: 10.1021/acsami.6b15598




Prof. Dr. Eckhard Quandt

Kiel University
Institute for Materials Science


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