Poik, M., Hackl, T., Di Martino, S., Schober, M., Dang, J., & Schitter, G. (2023). Analysis of Cross-Talk Induced Measurement Errors in Model-Based RF Voltage Sensing. In 2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC) (pp. 1–6). IEEE. https://doi.org/10.1109/I2MTC53148.2023.10175924
2023 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
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ISBN:
978-1-6654-5383-7
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Date (published):
13-Jul-2023
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Event name:
2023 IEEE Instrumentation and Measurement Technology Conference (I2MTC)
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Event date:
22-May-2023 - 25-May-2023
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Event place:
Kuala Lumpur, Malaysia
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Number of Pages:
6
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Publisher:
IEEE, Piscataway
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Keywords:
capacitive cross-talk; Contactless; passive voltage probe; radio frequency (RF); voltage measurement
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Abstract:
Contactless sensing methods using capacitively cou-pled probes can enable local radio frequency (RF) voltage measurements without the need for large contact pads. This enables a measurement of internal voltage distributions and can significantly facilitate the development of integrated microwave devices. The achievable spatial resolution of these methods is typically limited by parasitic capacitive cross-talk between the probe and adjacent circuit parts. When RF voltage measurements are performed at multiple tip-surface distances, cross-talk can be reduced by employing a suitable model of the distance dependent tip-circuit capacitance. In this paper, the achievable spatial reso-lution and its limitation by cross-talk induced errors is analysed. Electrostatic simulations of the capacitance between a probe tip and different test structures on a passivated circuit are performed and the results are verified by RF voltage measurements on m}-sized test structures at a frequency of 13 GHz. The analysis shows, that the achievable spatial resolution is mainly limited by the passivation layer and that cross-talk induced measurement errors limit the minimum structure size to two times the layer thickness.
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Project (external):
FFG FWF
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Project ID:
883916 P31238-N28
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Research Areas:
Mathematical and Algorithmic Foundations: 50% Sensor Systems: 50%