Self-tuning power amplifier in advanced CMOS technology for automotive radar
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Keywords: Integrated circuits, Process variations, Calibration, Intrusive, Millimeter waves, Non intrusive
Abstract: The implementation of millimeter wave circuits for radar applications is highly constrained by the performance degradation associated with the packaging of the circuits on the one hand, as well as by the evaluation of the circuit performance throughout its life cycle on the other hand. The problematic of this thesis will be to integrate sensors to monitor the performances and to implement control systems of an advanced CMOS power amplifier for automotive radar, without degrading its performances. The control systems are intended to compensate for process variations in order to maximize manufacturing yield. The circuit will be co-designed in the silicon and the package that connects it to the antenna. This will require the prior implementation of a silicon/package co-design flow that does not yet exist.
Sensors internal and external to the circuit will be implemented, in order not to degrade the nominal performance of the circuit. The thesis will build on the work initiated at the RFIC-LAB.
The other aspect of the research of the optimal performance of a power amplifier for radar, is its integration in a box satisfying the reliability requirements of the automotive application. This design work will be accomplished by the implementation of prototypes in two iterations.
Sensors internal and external to the circuit will be implemented, in order not to degrade the nominal performance of the circuit. The thesis will build on the work initiated at the RFIC-LAB.
The other aspect of the research of the optimal performance of a power amplifier for radar, is its integration in a box satisfying the reliability requirements of the automotive application. This design work will be accomplished by the implementation of prototypes in two iterations.
Informations
Thesis director: Sylvain BOURDEL (TIMA - RMS)
Thesis co-director: Emmanuel PISTONO (TIMA - RMS)
Thesis supervisors: Manuel BARRAGAN - Salvador MIR (TIMA - RMS)
Thesis started on: September 2021
Doctoral school: EEATS
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