Course Contents: The following represents a tentative list of topics that we will primarily cover. We might modify the topics slightly based on progress/interests.
Day 1: Motivation and use cases of localization technologies and how it applies to the IoT context. Working of GPS system for outdoor localization.
Day 2: Time of Arrival (ToA). Trilateration/Multilateration technique. ToA estimation - Wireless Ranging, Two-Way Ranging (TWR) protocol. Use case demonstration using Wi-Fi and Ultra-wideband radios.
Day 3: Limitations of ToA. Scaling for more devices. Time Difference of Arrival (TDoA) and Angle of Arrival (AoA) estimation. Brief introduction to anchor-free/relative localization using MDS (multi-dimensional scaling).
Day 4: Localization using radio signal map fingerprinting. Wireless pathloss/signal attenuation. Application of relevant Machine Learning tools to estimate signal maps and predict locations.
Day 5: Inertial sensing. Using inertial measurement units, IMUs (accelerometers, gyroscope, compass) to track user location. Pedestrian Dead Reckoning.
Day 6: Latest trends in localization research, industry standards, up-coming and future use-cases (AR/VR, public safety scenarios, smart homes etc.)