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CNN_for_drone_detection_and_identification_using_RF

This repository contains the code of the CNN architectures for drone detection and idenitifcation using RF proposed in Drone Detection Approach Based on Radio-Frequency Using Convolutional Neural Network paper.

The publication can be found here.

For more details please visit https://saraalemadi.com/2019/12/24/drone-detection-approach-based-on-radio-frequency-using-convolutional-neural-network/

Attribution

If you use this code in your research, please consider citing this work via the following:

Plain text: S. Al-Emadi and F. Al-Senaid, "Drone Detection Approach Based on Radio-Frequency Using Convolutional Neural Network," 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT), Doha, Qatar, 2020, pp. 29-34, doi: 10.1109/ICIoT48696.2020.9089489.

BibTex: @INPROCEEDINGS{9089489, author={S. {Al-Emadi} and F. {Al-Senaid}}, booktitle={2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT)}, title={Drone Detection Approach Based on Radio-Frequency Using Convolutional Neural Network}, year={2020}, volume={}, number={}, pages={29-34},}

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