Data provided by National Institute of Standards and Technology
This dataset contains two-port S-parameter measurements (S2P format) acquired in a typical mode-stirred reverberation chamber. The measurements support training of artificial neural networks to infer optimal mechanical stirrer and turntable positions for realizing a target wireless channel response. Data provides dense sampling of scattering parameters across mechanical configurations for four fixed excitation antennas.
Disclaimer: Certain commercial equipment, instruments, or materials are identified in this publication in order to describe the experimental procedures and data adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose.
About this Dataset
Updated: 2026-09-04
Metadata Last Updated:
2026-02-02 00:00:00
Date Created:
N/A
Data Provided by:
Dataset Owner:
N/A
| Title | NIST Reverberation Chamber S-Parameter Dataset for Deep Learning-Based Position Inference |
|---|---|
| Description | This dataset contains two-port S-parameter measurements (S2P format) acquired in a typical mode-stirred reverberation chamber. The measurements support training of artificial neural networks to infer optimal mechanical stirrer and turntable positions for realizing a target wireless channel response. Data provides dense sampling of scattering parameters across mechanical configurations for four fixed excitation antennas. Disclaimer: Certain commercial equipment, instruments, or materials are identified in this publication in order to describe the experimental procedures and data adequately. Such identification is not intended to imply recommendation or endorsement by the National Institute of Standards and Technology, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose. |
| Modified | 2026-02-02 00:00:00 |
| Publisher Name | National Institute of Standards and Technology |
| Contact | mailto:[email protected] |
| Keywords | industrial wireless , wireless , 5G , Wi-Fi , IEEE 802.11 , factory communications |
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"title": "NIST Reverberation Chamber S-Parameter Dataset for Deep Learning-Based Position Inference",
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