Description

The (Short-Time) Fourier Transform converts a time-domain CSI window into a frequency-domain or time-frequency representation. STFT is the standard front-end for Doppler / micro-Doppler analysis: each subcarrier's amplitude or phase time-series turns into a 2D spectrogram that feeds CNN/Transformer backbones. FFT-based features are nearly free to compute and dominate WiFi-radar pipelines.

When it's used

  • STFT spectrograms feeding HAR / gesture classifiers
  • Doppler-bin extraction for crowd-flow-estimation
  • Subcarrier-correlation analysis in the frequency domain

Limitations

  • Time-frequency resolution trade-off is fundamental
  • Window length / overlap choice affects downstream accuracy
  • Phase wrap obscures direction of motion in raw STFT phase

Source Papers

  • wang2016_6482 — STFT for CSI gait recognition
  • ma2020_4782 — Fourier-domain features in WiFi sensing
  • cakoni2023_7150 — Fourier features in radar HAR
  • chen2023_5cbd — Fourier features in CSI taxonomy

30 vault papers use this method

Titles and DOIs only — no abstracts, no analyses.

  • WiFi Sensing with Channel State Information 2020 DOI ↗
  • Understanding and Modeling of WiFi Signal Based Human Activity Recognition 2015 DOI ↗
  • Device-free occupancy detection and crowd counting in smart buildings with WiFi-enabled IoT 2018 DOI ↗
  • Gait recognition using wifi signals 2016 DOI ↗
  • Towards Environment Independent Device Free Human Activity Recognition 2018 DOI ↗
  • A Survey on Human Behavior Recognition Using Channel State Information 2019 DOI ↗
  • Cross-Domain WiFi Sensing with Channel State Information: A Survey 2023 DOI ↗
  • Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond 2022 DOI ↗
  • Keystroke Recognition Using WiFi Signals 2015 DOI ↗
  • Fast and Robust Stationary Crowd Counting With Commodity WiFi 2026 DOI ↗
  • Channel State Information (CSI) Amplitude Coloring Scheme for Enhancing Accuracy of an Indoor Occupancy Detection System Using Wi-Fi Sensing 2024 DOI ↗
  • Group Counting Using Micro-Doppler Signatures From a 77GHz FMCW Radar 2023 DOI ↗
  • Passive WiFi Radar for Human Sensing Using a Stand-Alone Access Point 2021 DOI ↗
  • On CSI and Passive Wi-Fi Radar for Opportunistic Physical Activity Recognition 2022 DOI ↗
  • Free Your CSI 2019 DOI ↗
  • Towards Energy Efficient Wireless Sensing by Leveraging Ambient Wi-Fi Traffic 2024 DOI ↗
  • MUSE-Fi: Contactless MUti-person SEnsing Exploiting Near-field Wi-Fi Channel Variation 2023 DOI ↗
  • MMCOUNT: Stationary Crowd Counting System Based on Commodity Millimeter-Wave Radar 2024 DOI ↗
  • WiFi CSI-based device-free sensing: from Fresnel zone model to CSI-ratio model 2022 DOI ↗
  • WiFi-Based Human Sensing With Deep Learning: Recent Advances, Challenges, and Opportunities 2024 DOI ↗
  • SimHumalator: An Open-Source End-to-End Radar Simulator for Human Activity Recognition 2022 DOI ↗
  • SimHumalator: An Open-Source End-to-End Radar Simulator for Human Activity Recognition 2022 DOI ↗
  • SimHumalator: An Open-Source End-to-End Radar Simulator for Human Activity Recognition 2022 DOI ↗
  • SimHumalator: An Open-Source End-to-End Radar Simulator for Human Activity Recognition 2022 DOI ↗
  • Exposing the CSI: A Systematic Investigation of CSI-based Wi-Fi Sensing Capabilities and Limitations 2023 DOI ↗
  • Human Activity Recognition via Wi-Fi and Inertial Sensors With Machine Learning 2024 DOI ↗
  • A Survey on Green Wireless Sensing: Energy-Efficient Sensing via WiFi CSI and Lightweight Learning 2026 DOI ↗
  • Self-organising and Autonomous IoT-Based Monitoring Units for Smart Environments 2026 DOI ↗
  • NearSense: Exploring NearLink for New-Generation Wireless Sensing 2026 DOI ↗
  • MetAegis: Defend Against Physical-layer Wireless Sensing Leakage via Metasurface Obfuscation 2026 DOI ↗