In this project new techniques will be developed that will place electronics at the sensor itself, on the same piece of silicon, and accurately report back the actual signal value.
This multidisciplinary research will focus on programmable parameter-to-frequency (time) converters as a smart sensor core and structural-algorithmic methods for data extraction in order to move from a traditional analogue signal domain to frequency-time signal domain (frequency, period, duty-cycle, time interval, phase-shift, etc.). Working in the frequency-time domain simplifies design, and obviates some technical and technological problems, thanks to the properties of frequency as informative parameter. Such design solution becomes particularly important when large arrays of sensors need to be monitored.
Because this solution is fully compatible with system-on-chip implementation, it can help in overcoming current hurdles to truly widespread deployment of smart sensors and systems. The advanced methods for signal processing and conversion to be developed will become the basis for self-adaptive smart sensors and systems with programmable accuracy and non-redundant measuring time, applicable to all kind of modulating sensors (resistive, capacitive, inductive), resonant sensors and oscillator-based sensors.
The novelty of this work and the potential impact of the expected results will ensure its presence in major scientific events in this area in the coming years. Training students in these topics will contribute to disseminate this design method and supervising Ph. D. students will ensure a continuous flow of enriching ideas for sustained progress.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsignal processing
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringanalogue electronics
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensorssmart sensors
- social scienceseconomics and businessbusiness and managementcommerce
Call for proposal
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