TagFi: Locating Ultra-Low Power WiFi Tags Using Unmodified WiFi Infrastructure
summary
TagFi demonstrates OOK backscatter tags that modulate ambient Wi‑Fi and are detected using channel state information plus a super‑resolution algorithm to separate the weak tag reflection from multipath. Localization uses the tag’s reflected path and the Wi‑Fi LoS to form a triangle, enabling single‑receiver localization with a claimed 0.2 m median accuracy up to 8 m. Implementation combines custom ultra‑low‑power tags, off‑the‑shelf Wi‑Fi chipsets, 100+ test scenarios, and an AR overlay that shows identified tags.
AI-written summary · about
related talks
25mScaling IoT in Practise: From PoCs to Deployment
25mCurrent state of Cellular IoT
01h 01mTracking Aircraft with Streams + Software-Defined Radio
13mFERRET: Fall-back to LTE Microservices for Low Latency Data Access
23mUnlocking economies of scale for LoRaWAN® deployments
21mAdaptive Power Optimization: Battery-Operated Chip Design
29mPortable DIstributed Systems Using Node on "Routers"
23m“Networking” the Logical Micro-Service Infrastructure