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Recently, researchers have shown that the beamforming feedback angles (BFAs)used for Wi-Fi multiple-input multiple-output (MIMO) operations can beeffectively leveraged as a proxy of the channel frequency response (CFR) fordifferent purposes. Examples are passive human activity recognition and devicefingerprinting. However, even though the BFAs report frames are sent in cleartext, there is not yet a unified open-source tool to extract and decode theBFAs from the frames. To fill this gap, we developed Wi-BFI, the first toolthat allows retrieving Wi-Fi BFAs and reconstructing the beamforming feedbackinformation (BFI) - a compressed representation of the CFR - from the BFAsframes captured over the air. The tool supports BFAs extraction within bothIEEE 802.11ac and 802.11ax networks operating on radio channels with160/80/40/20 MHz bandwidth. Both multi-user and single-user MIMO feedback canbe decoded through Wi-BFI. The tool supports real-time and offline extractionand storage of BFAs and BFI. The real-time mode also includes a visualrepresentation of the channel state that continuously updates based on thecollected data. Wi-BFI code is open source and the tool is also available as apip package.

Wi-BFI: Extracting the IEEE 802.11 Beamforming Feedback Information from Commercial Wi-Fi Devices