The course SENSOR SYSTEMS will provide the basis for understanding how sensors work (photodiodes, temperature sensors, microphones, MEMS, etc.) and for designing analog and digital front-end circuits.
1. SENSORS AND INDUSTRIAL APPLICATIONS
Basics on sensors: light, imaging, temperature, audio, strain, position, magnetic field, weight, proximity, acceleration and orientation (MEMS).
Basics on noise: spectral power, equivalent bandwidth, effective value, Signal-to-Noise Ratio.
Case studies on industrial applications.
2. ANALOG FRONT-END CIRCUITS
Operational Amplifier (OpAmp): ideal structure, open loop and negative feedback, non-idealities.
Stability of OpAmp circuits and frequency compensation techniques.
Linear circuits with OpAmps and analog filters, Instrumentation Amplifier (INA).
Non-linear circuits with OpAmps: superdiode, Schmidt trigger, oscillator.
Case studies on circuits with OpAmps and SPICE circuital simulations.
3. MIXED-SIGNAL ELECTRONICS
Sampling and Multiplexing: S&H circuits, static and dynamic errors, aliasing.
Digital-to-Analog Converters (DAC): architectures, precision and accuracy, conversion speed, trade-offs.
Analog-to-Digital Converters (ADC): architectures, timings, performance.
Under- and Over-sampling, Sigma-Delta modulator, noise-shaping and SNR.
Data Acquisition boards (DAQs): data-sheets, selection criteria.
Case studies on circuits employing S&Hs, DACs and ADCs connected to a microcontroller.
4. CASE STUDIES
Unmanned Aerial Vehicle (UAV, drone) sensor network.
Water quality control sensor system.