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Baseline Deep Learning Detectors for Radar Detection in the 3.5 GHz CBRS Band

Metadata Updated: July 29, 2022

This project aims to create a comprehensive framework for generating radio frequency (RF) datasets, designing deep learning (DL) detectors, and evaluating their detection performance using both simulated and experimental test data. The proposed tools and techniques are developed in the context of dynamic spectrum use for the 3.5 GHz Citizens Broadband Radio Service (CBRS), but they can be utilized and expanded for standardization of machine learned spectrum awareness technologies and methods. This dataset consists of pre-trained DL models for radar detection in the CBRS band using simulated waveforms. The code for creating and using these models is available at https://github.com/usnistgov/BaselineDeepLearningRadarDetectors.

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

Dates

Metadata Created Date April 10, 2021
Metadata Updated Date July 29, 2022

Metadata Source

Harvested from NIST

Additional Metadata

Resource Type Dataset
Metadata Created Date April 10, 2021
Metadata Updated Date July 29, 2022
Publisher National Institute of Standards and Technology
Maintainer
Identifier ark:/88434/mds2-2380
Data First Published 2021-04-05
Language en
Data Last Modified 2021-03-01 00:00:00
Category Advanced Communications:Wireless (RF)
Public Access Level public
Bureau Code 006:55
Metadata Context https://project-open-data.cio.gov/v1.1/schema/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id a5ea997f-7f16-4e7c-940a-77fcb28c9d84
Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
Harvest Source Title NIST
Homepage URL https://data.nist.gov/od/id/mds2-2380
License https://www.nist.gov/open/license
Program Code 006:045
Source Datajson Identifier True
Source Hash 90057d54da065851fae8c3b64854f0ddf4b52186
Source Schema Version 1.1

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