RF Dataset of Incumbent Radar Systems in the 3.5 GHz CBRS Band

The RF dataset can be used to develop and test detection algorithms for the 3.5 GHz CBRS or similar bands where the primary users of the band are federal incumbent radar systems. The dataset consists of synthetically generated radar waveforms with added white Gaussian noise. The RF dataset is suitable for development and testing of machine/deep learning detection algorithms. A large number of parameters of the waveforms are randomized across the dataset. Due to its large size, the dataset is divided into groups, and each group consists of multiple files. For more information about the dataset, refer to: R. Caromi, M. Souryal, and T. Hall "RF Dataset of Incumbent Radar Signals in the 3.5 GHz CBRS Band," J Res Natl Inst Stan 124:124038, 2019. available online at: https://doi.org/10.6028/jres.124.038. In addition, the metadata of the dataset is summarized in "Data Dictionary of 3.5 GHz Radar Waveforms" [pdf] accompanying the data. For more information about the motivation behind this RF dataset, refer to: T. Hall, R. Caromi, M. Souryal, and A. Wunderlich, "Reference Datasets for Training and Evaluating RF Signal Detection and Classification Models," in Proc. IEEE GLOBECOM Workshop on Advancements in Spectrum Sharing, Dec. 2019, available online at: https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=928336.

Data e Risorse

Campo Valore
accessLevel public
accrualPeriodicity irregular
bureauCode {006:55}
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identifier ark:/88434/mds2-2116
issued 2019-11-21
landingPage https://data.nist.gov/od/id/mds2-2116
language {en}
license https://www.nist.gov/open/license
modified 2019-08-27 00:00:00
programCode {006:045}
publisher National Institute of Standards and Technology
resource-type Dataset
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source_hash 66fba7748fadc0f81fc7b3f7ecd21f55b12993e1
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theme {"Advanced Communications:Wireless (RF)"}
Gruppi
  • AmeriGEOSS
  • National Provider
  • North America
Tag
  • 3-5-ghz-cbrs-incumbent-radar-detection-rf-dataset-classification-deep-learning-machine-learning
  • AmeriGEO
  • AmeriGEOSS
  • CKAN
  • GEO
  • GEOSS
  • National
  • North America
  • United States
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Raied Caromi
maintainer_email raied.caromi@nist.gov
metadata_created 2025-09-23T14:21:39.542397
metadata_modified 2025-09-23T14:21:39.542402
notes The RF dataset can be used to develop and test detection algorithms for the 3.5 GHz CBRS or similar bands where the primary users of the band are federal incumbent radar systems. The dataset consists of synthetically generated radar waveforms with added white Gaussian noise. The RF dataset is suitable for development and testing of machine/deep learning detection algorithms. A large number of parameters of the waveforms are randomized across the dataset. Due to its large size, the dataset is divided into groups, and each group consists of multiple files. For more information about the dataset, refer to: R. Caromi, M. Souryal, and T. Hall "RF Dataset of Incumbent Radar Signals in the 3.5 GHz CBRS Band," J Res Natl Inst Stan 124:124038, 2019. available online at: https://doi.org/10.6028/jres.124.038. In addition, the metadata of the dataset is summarized in "Data Dictionary of 3.5 GHz Radar Waveforms" [pdf] accompanying the data. For more information about the motivation behind this RF dataset, refer to: T. Hall, R. Caromi, M. Souryal, and A. Wunderlich, "Reference Datasets for Training and Evaluating RF Signal Detection and Classification Models," in Proc. IEEE GLOBECOM Workshop on Advancements in Spectrum Sharing, Dec. 2019, available online at: https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=928336.
num_resources 35
num_tags 9
title RF Dataset of Incumbent Radar Systems in the 3.5 GHz CBRS Band