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Unlocking the Beamforming Potential of LoRa for Long-range Multi-target Respiration Sensing

on YouTube 06m
Talkat UbiComp 2021 · 2021-09-21..09-26· [embedded-and-hardware]

speakers

name:Fusang Zhang
links:none on file
name:Zhaoxin Chang
links:none on file
name:Jie Xiong
links:none on file
name:Rong Zheng
links:none on file
name:Junqi Ma
links:none on file
name:Kai Niu
links:none on file
name:Beihong Jin
links:none on file
name:Daqing Zhang
links:none on file

resources

video:https://youtu.be/3ksE_34FWVU
slides:none on file

summary

System uses a multi-antenna LoRa gateway to form spatial beams and implements a beam nulling division method to cancel the random phase from unsynchronized LoRa nodes, recovering usable sensing signals. It extracts a location-independent feature, the curvature of complex-plane signal, to detect respiration changes and separates multiple targets. Prototype monitors up to five human targets at 98.1% accuracy, with demos showing simultaneous waveforms through a wall at 15 m for three people.

AI-written summary · about

chapters (6)

  1. 0:00Start
  2. 0:22Background
  3. 1:27LoRa Beamforming Primer
  4. 3:04LoRa Beamforming Challenge 1: Solution
  5. 4:15LoRa Beamforming Challenge 2: Solution
  6. 5:00Demo

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