Description

The Atheros CSI Tool, released by Yaxiong Xie et al. (2015, NTU Singapore), patches the open-source ath9k Linux driver for Atheros AR9xxx 802.11n chipsets to expose per-subcarrier CSI. Compared to the Intel 5300 it reports the full 56-subcarrier OFDM grid (no decimation) at higher resolution (10-bit I / 10-bit Q), which made it preferable for research that needs fine-grained subcarrier information (phase calibration, ranging, super-resolution AoA). Atheros chipsets are also widely used in OpenWrt routers, so the same tool runs on cheap commodity APs.

Specs / capabilities

  • 802.11n, 2.4 GHz / 5 GHz, up to 3x3 MIMO depending on chip (AR9580, AR9590, AR9344)
  • 56 subcarriers per 20 MHz channel (full OFDM grid), 114 per 40 MHz HT channel
  • 10-bit signed I / 10-bit signed Q per subcarrier per (Tx, Rx) antenna pair
  • AP, monitor, and injection modes all supported
  • Runs on x86 hosts AND on OpenWrt-capable Atheros routers (TP-Link WDR4300, etc.)

Tooling

  • Atheros CSI Tool (Xie, Li, Li — NTU Singapore, 2015): https://wands.sg/research/wifi/AtherosCSI/
  • Patched ath9k driver + user-space recvCSI / sendData utilities
  • Python parser ports in csikit and community repos
  • Often paired with OpenWrt to deploy CSI loggers on commodity routers

Used by (papers)

  • xie2015 — original Atheros CSI Tool paper
  • Used by ranging / AoA / phase-calibration papers that need full-resolution subcarriers

10 vault papers run on this hardwar

Titles and DOIs only — no abstracts, no analyses.

  • A Survey on Human Behavior Recognition Using Channel State Information 2019 DOI ↗
  • DASECount: Domain-Agnostic Sample-Efficient Wireless Indoor Crowd Counting via Few-Shot Learning 2023 DOI ↗
  • SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing 2023 DOI ↗
  • Channel State Information (CSI) Amplitude Coloring Scheme for Enhancing Accuracy of an Indoor Occupancy Detection System Using Wi-Fi Sensing 2024 DOI ↗
  • Free Your CSI 2019 DOI ↗
  • WiFi-Based Human Sensing With Deep Learning: Recent Advances, Challenges, and Opportunities 2024 DOI ↗
  • A Survey on Green Wireless Sensing: Energy-Efficient Sensing via WiFi CSI and Lightweight Learning 2026 DOI ↗
  • SDP: A Unified Protocol and Benchmarking Framework for Reproducible Wireless Sensing 2026 DOI ↗
  • CSI-Based People Counting in WiFi Networks: Leveraging Occupancy Detection 2024 DOI ↗
  • Context-Aware Predictive Coding: A Representation Learning Framework for WiFi Sensing 2024 DOI ↗