Dataset Open Access

AN OPEN-SOURCED TIME-FREQUENCY DOMAIN RF CLASSIFICATION FRAMEWORK

Badger, Robert; Kim, Minje


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  "inLanguage": {
    "alternateName": "eng", 
    "@type": "Language", 
    "name": "English"
  }, 
  "description": "<p>These datasets accompany the EUSIPCO 2021 paper:&nbsp;AN OPEN-SOURCED TIME-FREQUENCY<br>\nDOMAIN RF CLASSIFICATION FRAMEWORK</p>\n\n<p>Labeled in-phase and quadrature (IQ)&nbsp;datasets captured using software defined radios (SDR).&nbsp;12 classes comprised of 10 different transceivers plus &#39;noise&#39; class and class for zero hz artifact from SDR direct conversion receiver.</p>\n\n<p>The IQ data has the extension .sigmf-data, and the associated JSON file that contains the labeled metadata is .sigmf-meta.</p>\n\n<p>There is a directory called &#39;data&#39;, this has all the extracted features for each class and is used for training.</p>\n\n<p>There are also 12 folders named &#39;data_val1&#39; - &#39;data_val12&#39;. These contain the extracted features used validation accuracy.</p>\n\n<p>There are numerous training, validation and testing datasets used to build the training and validation sets, all comprised of the ten primary RF modulation waveforms:</p>\n\n<p>1) LoRa 125 (lora125)</p>\n\n<p>2) LoRa 250 (lora250)</p>\n\n<p>3) PTT analog transceivers (uv5r, vx8)</p>\n\n<p>4) PTT digital transceivers (gd55, tyt)</p>\n\n<p>5) RF doorbell (vod, sado)</p>\n\n<p>6) misc. RF keyfob (click)</p>\n\n<p>7) RF light switch (light)</p>\n\n<p>8) Yaesu system fusion PTT (ysf)</p>\n\n<p>The testing directory:&nbsp;testing_data_1msps conatins all the test data for the auto grader notebooks at the github repo.</p>\n\n<p>These datasets go with the public github repo called:&nbsp;https://github.com/rdbadger/open_source_RFML</p>\n\n<p>&nbsp;</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Indiana University", 
      "@id": "https://orcid.org/0000-0003-1341-1215", 
      "@type": "Person", 
      "name": "Badger, Robert"
    }, 
    {
      "affiliation": "Indiana University", 
      "@type": "Person", 
      "name": "Kim, Minje"
    }
  ], 
  "url": "https://zenodo.org/record/4603987", 
  "datePublished": "2021-03-14", 
  "@type": "Dataset", 
  "keywords": [
    "radio frequency machine learning", 
    "OPEN-SOURCED TIME-FREQUENCY DOMAIN RF CLASSIFICATION FRAMEWORK"
  ], 
  "@context": "https://schema.org/", 
  "distribution": [
    {
      "contentUrl": "https://zenodo.org/api/files/48803b9d-9a20-49f2-86b6-131316b0abcf/open_source_RF_datasets.zip", 
      "encodingFormat": "zip", 
      "@type": "DataDownload"
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  ], 
  "identifier": "https://doi.org/10.5281/zenodo.4603987", 
  "@id": "https://doi.org/10.5281/zenodo.4603987", 
  "workFeatured": {
    "url": "https://eusipco2021.org/", 
    "alternateName": "EUSIPCO", 
    "location": "Dublin, Ireland", 
    "@type": "Event", 
    "name": "29th European Signal Processing Conference"
  }, 
  "name": "AN OPEN-SOURCED TIME-FREQUENCY DOMAIN RF CLASSIFICATION FRAMEWORK"
}
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