D1-2.2 - Joint Simulation–Measurement Framework for Estimation and Compensation of Distributed Parasitics in a Flexible PCB Sensor Matrix
- Event
- 23. ITG/GMA-Fachtagung Sensoren und Messsysteme 2026
2026-06-09 - 2026-06-10
Nürnberg - Band
- Vorträge
- Chapter
- Kraft-, Drehmoment-, und Druck
- Author(s)
- X. Ma, A. Fischerauer, G. Fischerauer - University of Bayreuth, Bayreuth, G. Wu, O. Kanoun - Technische Universität Chemnitz, Chemnitz
- Pages
- 157 - 162
- DOI
- 10.5162/sensoren2026/D1-2.2
- ISBN
- 978-3-910600-11-9
- Price
- free
Abstract
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 2×7 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 machinelearning-based interpretation of sensor data.