24. Towards an adaptive RF instrument

Modern analog circuits are mostly build to serve different communications standards and therefore need to be very flexible/adaptable. The measurement of devices in a wide variety of setting is, however, time consuming as it is impossible to measure the devices in all its possible settings. Hence, there is the need for intelligent telecom measurement equipment that determines the optimal setpoints of the devices, steers the instrumentation accordingly, and performs / reuses calibration measurements in a dynamical way to reduce the measurement and calibration time. The thesis therefore includes

  • the adaptive sampling of both the device under test and the instrumentation itself,
  • the use of adaptive regression techniques to reuse previous calibration measurements in order to enable calibrated measurements with a reduced number of calibration measurements.

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2022
In collaboration with National Instruments and Prof. Francesco Ferranti
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