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Joint Simulation-Measurement Estimation of Distributed Parasitics in a Flexible PCB Sensor Matrix

Title data

Ma, Xiaohu ; Wu, Guozheng ; Kanoun, Olfa ; Fischerauer, Alice ; Fischerauer, Gerhard:
Joint Simulation-Measurement Estimation of Distributed Parasitics in a Flexible PCB Sensor Matrix.
In: Tagungsband : 23. ITG/GMA-Fachtagung Sensoren und Messsysteme 2026. - Wunstorf : AMA Service GmbH , 2026 . - pp. 132-137
ISBN 978-3-910600-11-9
DOI: https://doi.org/10.5162/sensoren2026/D1-2.2

Abstract in another language

Distributed sensor networks based on impedance-based pressure sensors can be used for pressure field measurements. However, accurate impedance characterization of such sensor matrices is often compromised by distributed parasitics arising from transmission lines, connectors, and multiplexer switching paths. In this work, a hybrid simulation-measurement approach is presented to compensate for these parasitics in the transmission lines of a nanocomposite pressure sensor matrix fabricated on a flexible printed circuit board (FPCB) with 2x7 nodes for pressure distribution measurement. Impedances between all node pairs were measured from 50 kHz to 1 MHz using an Analog Discovery 2 impedance analyzer. After compensation, the proposed method was validated under multiple loading conditions of the sensor matrix, demonstrating good agreement between the corrected and expected impedance responses. Across the investigated frequency range, the RMS relative error in impedance magnitude across all measurements remained below 8%, with a forward-model RMS relative error of approximately 2.5% and an inverse reconstruction error below 10%, demonstrating the effectiveness of the parasitic compensation framework. This approach enables reliable extraction of intrinsic impedance, providing a foundation for subsequent analysis and applications such as machine-learning-based interpretation of sensor data.

Further data

Item Type: Article in a book
Refereed: No
Keywords: Flexible PCB; simulation-measurement framework; compensation of distributed parasitics; impedance network
Institutions of the University: Faculties
Faculties > Faculty of Engineering Science
Faculties > Faculty of Engineering Science > Chair Measurement and Control Technology
Faculties > Faculty of Engineering Science > Chair Measurement and Control Technology > Chair Measurement and Control Technology - Univ.-Prof. Dr.-Ing. Gerhard Fischerauer
Result of work at the UBT: Yes
DDC Subjects: 600 Technology, medicine, applied sciences > 620 Engineering
Date Deposited: 11 Jun 2026 05:29
Last Modified: 11 Jun 2026 05:29
URI: https://eref.uni-bayreuth.de/id/eprint/97908