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NIST Reverberation Chamber S-Parameter Dataset for Deep Learning-Based Position Inference

Published by National Institute of Standards and Technology | National Institute of Standards and Technology | Catalog Last Checked: September 02, 2026 at 07:19 PM | Dataset Last Updated: February 02, 2026
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.

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Complete Metadata
@type dcat:Dataset
accessLevel public
accrualPeriodicity irregular
bureauCode 
[
  "006:55"
]
contactPoint 
{
  "fn": "Rick Candell Jr.",
  "hasEmail": "mailto:richard.candell@nist.gov"
}
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.
distribution 
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identifier ark:/88434/mds2-4091
issued 2026-02-13
keyword 
[
  "5G",
  "IEEE 802.11",
  "Wi-Fi",
  "factory communications",
  "industrial wireless",
  "wireless"
]
landingPage https://data.nist.gov/od/id/mds2-4091
language 
[
  "en"
]
license https://www.nist.gov/open/license
modified 2026-02-02 00:00:00
programCode 
[
  "006:045"
]
publisher 
{
  "name": "National Institute of Standards and Technology",
  "@type": "org:Organization"
}
theme 
[
  "Advanced Communications:Wireless (RF)",
  "Electronics:Electromagnetics",
  "Manufacturing:Factory communications",
  "Standards:Documentary standards"
]
title NIST Reverberation Chamber S-Parameter Dataset for Deep Learning-Based Position Inference

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