Prof. Dr.-Ing.
Lead of projects B2, B6, and Z2
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.
F1 “Modeling” , F2 “Sensor Concepts” , and F3 “Biomagnetic Signal Analysis” .
Project-related Publications
B. Spetzler, C. Kirchhof, J. Reermann, P. Durdaut, M. Höft, G. Schmidt, E. Quandt, F. Faupel, Influence of the quality factor on the signal to noise ratio of magnetoelectric sensors based on the delta-E effect. Appl. Phys. Lett. 114, 183504 (2019). https://doi.org/10.1063/1.5096001
C. Bald, E. Elzenheimer, J. Reermann, T. Sander-Thömmes, G. Schmidt, Amplitudenverlauf des Herzmagnetfeldes als Funktion des Abstandes. Biosignale Workshop , Erfurt, Germany (2018).
S. Salzer, V. Röbisch, M. Klug, P. Durdaut, J. McCord, D. Meyners, J. Reermann, M. Höft, R. Knöchel, Noise Limits in Thin-Film Magnetoelectric Sensors With Magnetic Frequency Conversion. IEEE Sensors Journal, vol. 18, no. 2, pp. 596-604 (2018). http://dx.doi.org/10.1109/JSEN.2017.2776039
A. Kittmann, P. Durdaut, S. Zabel, J. Reermann, J. Schmalz, B. Spetzler, D. Meyners, N. X. Sun, J. McCord, M. Gerken, G. Schmidt, M. Höft, R. Knöchel, F. Faupel, E. Quandt, Wide Band Low Noise Love Wave Magnetic Field Sensor System. Scientific Reports, vol. 8, no. 278 (2018). http://dx.doi.org/10.1038/s41598-017-18441-4
P. Durdaut, J. Reermann, S. Zabel, C. Kirchhof, E. Quandt, F. Faupel, G. Schmidt, R. Knöchel, 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 (2017). http://dx.doi.org/10.1109/TIM.2017.2709478
J. Reermann, P. Durdaut, S. Salzer, T. Demming, A. Piorra, E. Quandt, N. Frey, M. Höft, G. Schmidt, Evaluation of Magnetoelectric Sensor Systems for Cardiological Applications. Measurement (Elsevier), ISSN 0263-2241 (2017). https://doi.org/10.1016/j.measurement.2017.09.047
J. Reermann, C. Bald, P. Durdaut, A.Piorra, D. Meyners, E. Quandt, M. Höft, G. Schmidt, Adaptive mehrkanalige Geräuschkompensation für magnetoelektrische Sensoren. Proc. DAGA, Kiel, Germany , open access (2017).
P. Durdaut, S. Salzer, J. Reermann, V. Röbisch, J. McCord, D. Meyners, E. Quandt, G. Schmidt, R. Knöchel, M. Höft, Improved Magnetic Frequency Conversion Approach for Magnetoelectric Sensors. IEEE Sensors Letters, vol. 1, no. 3 (2017). http://dx.doi.org/10.1109/LSENS.2017.2699559
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 (2017). http://dx.doi.org/10.1109/JSEN.2017.2671442
J. Reermann, C. Bald, S. Salzer, P. Durdaut, A. Piorra, D. Meyners, E. Quandt, M. Höft, Gerhard Schmidt, Comparison of Reference Sensors for Noise Cancellation of Magnetoelectric Sensors. IEEE Sensors 2016 , Orlando (2016). DOI: 10.1109/ICSENS.2016.7808758
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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.