Dataset of channels and received IEEE 802.11ay signals for sensing applications in the 60GHz band

Published by National Institute of Standards and Technology | National Institute of Standards and Technology | Metadata Last Checked: June 27, 2025 | Last Modified: 2021-05-27 00:00:00

The dataset can be used to develop and test algorithms for communication and sensing in the 60GHz band. The dataset consists of synthetically generated indoor mm-wave channels between a MIMO transmitter and a MIMO receivers. Multiple targets are moving in the room. Number of targets, velocity of each target and trajectory are randomized across the dataset. The dataset contains also noisy received IEEE 802.11ay channel estimation fields. The dataset is suitable for development and testing of machine/deep learning algorithms. The dataset can be used to participate to the ITU AI/ML 5G Challenge. For information on the challenge and registration, please refer to: https://challenge.aiforgood.itu.int/match/matchitem/38. The challenge dataset relies on the open-source software available at: https://github.com/usnistgov/PS-002-WALDO.

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Complete Metadata

bureauCode	[ "006:55" ]
identifier	ark:/88434/mds2-2417
issued	2021-07-19
landingPage	https://data.nist.gov/od/id/mds2-2417
language	[ "en" ]
programCode	[ "006:045" ]
theme	[ "Advanced Communications:Wireless (RF)", "Information Technology:Mobile" ]