Wireless and Optical Sensing for IoT
Your guide: Radio Remi
“A crisp trace is not yet a trustworthy claim. Name the frame, the threshold, and the case that could fool it.”
Start With the Module
Wireless and optical sensors can reveal motion, position, range, and shape without attaching a tag to every target. They do not reveal those facts automatically. A receiver observes changing channel measurements or returned energy; an engineer must connect that observation to a carefully limited decision.
In this module, you will follow that evidence chain. You will calibrate synthetic Wi-Fi CSI, compare RF localisation errors, recover targets from an FMCW beat signal, operate simulated optical ranging sensors, and filter both a licensed radar sample and a synthetic lidar scene. Every lab ends by stating what its result does not prove.
Chapters by Part
Sensing Foundations
- Wi-Fi CSI Sensing — detect change while managing baselines, abstention, and consent.
- RF Localisation — compare RSSI, time, angle, UWB, and fusion using tail error.
- FMCW Radar Basics — trace chirps through beat frequency, range, Doppler, and angle.
- Lidar and Optical Ranging — choose optical methods by surface, geometry, and safety needs.
- Point Clouds from Radar and Lidar — filter, cluster, associate, and score bounded scenes.
Choose a Starting Point
Begin with Wi-Fi CSI if you are new to sensing evidence. Begin with the chapter nearest your design decision if you already know the modality, but carry its coordinate frame, calibration boundary, failure cases, and acceptance metric into the lab.
Next wave
The planned continuation covers presence and vital-sign sensing, integrated sensing and communication (ISAC), hidden-camera and rogue-device detection, and privacy and consent.