| Description: |
The course introduces basic elements of wireless signals and wireless sensing. The focus is on Monostatic and Bi-static Wireless Sensing that has brought wide-applications ranging from localization, navigation, breathing, heart-rate estimation, autonomous driving perception and many more to come. To understand these wireless sensing systems, we will cover the basics of signals and systems, that focus on continuous and discrete time. Fourier series and transforms. Linear Time-Invariant Systems. Impulse response, frequency response, and transfer functions. Convolution. Sampling. Aliasing. We will then focus on Single carrier wireless transceiver design, Wireless Signal Modulations, Mono-Static Sensing, Bi-Static Sensing, and finally discuss the current ML-based Wireless sensor systems.
The objective of the course is to enable students to:
- Gain fundamental knowledge of signal and systems.
- Gain fundamental knowledge of wireless signals.
- Understand mono-static and bi-static wireless sensor systems.
- Learn basic signal processing algorithms
- Prepare for studying advanced Wireless topics, and a career in the field of Wireless Sensors.
At the end of this course, each student should be able to:
- Have a good overall picture of signals and systems in general and wireless signals in particular.
- Have a rough idea of how various wireless signals behave and where they are used for sensing.
- Know how to do signal processing in MATLAB and/or Python.
- Know how to do basic signal analysis of popular wireless protocols (WiFi, BLE, UBW, cellular).
- Know how to use popular signal processing tools ranging from FFT, MUSIC, CFAR, and more
- Start reading more advanced/research-oriented signal processing and wireless systems materials. |