Basic electronics.
The course gives an overview of devices and techniques that are used in sensors and electronic systems for Internet-of-Things. The course targets applications impacting on people (monitoring of physiological parameters), on their interaction with their environment (home, workplace) as well as on advanced industrial technologies (automotive, smart machinery and production equipment).
1. Introduction
Fundamentals of sensors and mixed-signal microelectronics for IoT systems.
2.Sensors
Passive and active infrared (IR) sensors, microphones, cameras,
GPS, accelerometers, ultrasonic sensors,.
3.Electronics and signal processing
Amplification of sensor signals. Noise. Interferences. Noise from power supplies. PSRR. Signal-to-noise ratio. Power spectral density. Noise sources in electronic circuits. Effects of noise in circuits for the analog processing of signals from sensors.
Signal filtering. Low-pass, high-pass, bandpass filters. Butterworth, Chebyshev, Bessel filters. Filters with operational amplifiers.
Sampling of analog signals. Fourier analysis of sampled signals. Sampling theorem. Aliasing. Antialiasing filters.
Analog-to-digital conversion. Quantization noise. Effective number of bits. A/D converters.
Digital signal processing. Digital filters. DFT and FFT. Spectral leakage and windowing.
4. IoT systems, wireless devices
Microcontrollers and FPGA: architecture and embedded firmware
Wireless communication techniques, protocols and networks for IoT systems (Bluetooth, LoRaWAN)
Classroom lectures, experimental activities in the electronics lab
Oral exam at the end of the course.