Description

Device-Free Localization estimates the position of one or more humans who carry no transmitter or tag, by observing perturbations they induce on RF links between fixed anchors. CSI-based DFL replaced earlier RSSI-only RTI (Radio Tomographic Imaging) systems by exploiting subcarrier-level multipath shifts. It sits at the intersection of wifi-csi-sensing and indoor-positioning and is a building block for occupancy and crowd-counting pipelines.

When it's used

  • Single-target indoor tracking from passive Wi-Fi observations
  • Region-level occupancy heatmaps from CSI link grids
  • Anchor-based fingerprinting where targets cannot wear devices
  • Privacy-preserving alternatives to camera tracking

Limitations

  • Multi-target separation is underdetermined with few anchors
  • Sensitive to anchor geometry and environment changes
  • Re-calibration required when furniture moves

Source Papers

  • zhang2025_a250 — recent device-free localisation pipeline
  • wang2019_d6f9 — DFL with CSI features
  • shahbazian2023_1172 — DFL learning-based estimator

3 vault papers use this method

Titles and DOIs only — no abstracts, no analyses.

  • Human Sensing by Using Radio Frequency Signals: A Survey on Occupancy and Activity Detection 2023 DOI ↗
  • Leveraging Online Learning for Domain-Adaptation in Wi-Fi-Based Device-Free Localization 2025 DOI ↗
  • Electromagnetic Models for Passive Detection and Localization of Multiple Bodies 2022 DOI ↗