/uav-rf-id

Primary LanguageJupyter NotebookApache License 2.0Apache-2.0

One-shot Generative Distribution Matching for Augmented RF-based UAV Identification

Dataset

This repository utilizes a preprocessed dataset derived from the original data available at Mendeley Data. The preprocessing steps are implemented based on the code provided in the DroneRF GitHub repository.

Downloading the Dataset

To use the preprocessed dataset in your projects, please follow these steps:

  1. Download the dataset from Google Drive: Download Preprocessed Dataset.
  2. Place the downloaded file into the ./data/ directory within your project structure.

Citing the Dataset Creators

Please cite the following papers if you use this dataset:

  • Al-Sa’d, M. F., Al-Ali, A., Mohamed, A., Khattab, T., & Erbad, A. (2019). RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database. Future Generation Computer Systems, 100, 86-97.

  • Allahham, M. S., Al-Sa'd, M. F., Al-Ali, A., Mohamed, A., Khattab, T., & Erbad, A. (2019). DroneRF dataset: A dataset of drones for RF-based detection, classification and identification. Data in Brief, 26, 104313.