⢀⣠⣾⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⠀⣠⣤⣶⣶
⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠀⠀⠀⢰⣿⣿⣿⣿
⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣧⣀⣀⣾⣿⣿⣿⣿
⣿⣿⣿⣿⣿⡏⠉⠛⢿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⡿⣿
⣿⣿⣿⣿⣿⣿⠀⠀⠀⠈⠛⢿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⣿⠿⠛⠉⠁⠀⣿
⣿⣿⣿⣿⣿⣿⣧⡀⠀⠀⠀⠀⠙⠿⠿⠿⠻⠿⠿⠟⠿⠛⠉⠀⠀⠀⠀⠀⣸⣿
⣿⣿⣿⣿⣿⣿⣿⣷⣄⠀⡀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢀⣴⣿⣿
⣿⣿⣿⣿⣿⣿⣿⣿⣿⠏⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠠⣴⣿⣿⣿⣿ Nexmonster / Nexmon_CSI
⣿⣿⣿⣿⣿⣿⣿⣿⡟⠀⠀⢰⣹⡆⠀⠀⠀⠀⠀⠀⣭⣷⠀⠀⠀⠸⣿⣿⣿⣿ =======================
⣿⣿⣿⣿⣿⣿⣿⣿⠃⠀⠀⠈⠉⠀⠀⠤⠄⠀⠀⠀⠉⠁⠀⠀⠀⠀⢿⣿⣿⣿
⣿⣿⣿⣿⣿⣿⣿⣿⢾⣿⣷⠀⠀⠀⠀⡠⠤⢄⠀⠀⠀⠠⣿⣿⣷⠀⢸⣿⣿⣿
⣿⣿⣿⣿⣿⣿⣿⣿⡀⠉⠀⠀⠀⠀⠀⢄⠀⢀⠀⠀⠀⠀⠉⠉⠁⠀⠀⣿⣿⣿
⣿⣿⣿⣿⣿⣿⣿⣿⣧⠀⠀⠀⠀⠀⠀⠀⠈⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢹⣿⣿
⣿⣿⣿⣿⣿⣿⣿⣿⣿⠃⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⠀⢸⣿⣿
Nexmonster is a group of people trying to provide excellent documentation, and an easy installation experience for seemoo-lab/nexmon_csi.
We primarily support Raspberry Pi (3B+ and 4), and Asus RT-AC86U. If you need help with other devices, please create an Issue :)
If you're using Nexmon_CSI, please let me know via email (aravind.reddy@iiitb.org) or Discussions and I'll feature your work.
Checkout https://github.com/nexmonster/nexmon_csi_bin for pre-compiled nexmon_csi binaries.
| Pi Version | Kernel Version | Link | Notes |
|---|---|---|---|
| Pi 3B+ and 4 | 5.10.92 | https://github.com/nexmonster/nexmon_csi/tree/pi-5.10.92 | This is the recommended version with RSSI and FC. |
| Pi 3B+ and 4 | 5.4.51 | https://github.com/nexmonster/nexmon_csi/tree/pi-5.4.51 | Uses the legacy 5.4.51 Kernel with old packet format. |
| Pi 3B+ and 4 | 5.4.51 | https://github.com/nexmonster/nexmon_csi/tree/pi-5.4.51-plus | Like 5.4.51, but includes more data like RSSI, Source and Destination Mac ID. Use https://github.com/zeroby0/csi-explorer to plot data. |
| Pi 3B+ and 4 | 4.19.97 | https://github.com/nexmonster/nexmon_csi/tree/pi-4.19.97 | Uses the legacy 4.19.97 Kernel. Use this if you're facing problems with other versions, or you need to use Kernel v4.19.97 for some reason. |
| Device | Link | Notes |
|---|---|---|
| RT-AC86U | #2 | Short and Quick guide using precompiled binaries |
| RT-AC86U | #7 | Longer guide that shows how to compile from source |
| Name | Devices | Language | Link | Notes |
|---|---|---|---|---|
| CSIKit | Several devices | Python | https://github.com/Gi-z/CSIKit | A feature rich decoder supporting many input formats and sources |
| CSI Explorer 2.0 | Raspberry Pi 3B+ and 4B | Python | https://github.com/nexmonster/nexmon_csi/tree/feature/python/utils/python | CSI decoder and plotter optimised for speed. You can embed it into your scripts to read CSI and process it |
| CSI Explorer | Raspberry Pi 3B+ and 4B | Python | https://github.com/zeroby0/csi-explorer | CSI reader designed for 5.4.51-plus branch |
- Yu, J., Wang, P., Koike-Akino, T., Wang, Y., Orlik, P. V., & Sun, H. (2020, December). Human Pose and Seat Occupancy Classification with Commercial MMWave WiFi. In 2020 IEEE Globecom Workshops (GC Wkshps (pp. 1-6). IEEE.
- A. R. Voggu, V. Vazhayil and M. Rao, "Decimeter Level Indoor Localisation with a Single WiFi Router using CSI Fingerprinting," 2021 IEEE Wireless Communications and Networking Conference (WCNC), 2021, pp. 1-5, doi: 10.1109/WCNC49053.2021.9417483.
Email me at aravind.reddy@iiitb.org to have your work featured here.
Currently we are
- @zeroby0 - Aravind Voggu
- @Gi-z - Glenn Forbes
- @tweigel-dev - Thomas Weigel
I'm looking for PhD Positions in Wireless research. Please let me know if you're interested: https://www.avoggu.com/contact/ Thanks :)
If you would like to help out, please create a Discussion. Please create an Issue before starting a Pull Request.
If the documentation and scripts here helped you, I would really appreciate it if you credit this repo and the seemoo-lab/nexmon_csi project :)