@inproceedings{b68b41b1978a4f7898061f2eabafeea3,
title = "Review of Counter-UAV Solutions Based on the Detection of Remote Control Communication",
abstract = "One of the problems that we face today is the illegal use of drones. Monitoring the RF transmissions has proved to be a reliable technique for detecting and identifying such devices. Although there are some solutions on the market for detection and jamming, they are not always successful. The aim of this paper is to analyze the typical communications used by drone manufacturers, which usually implement their own algorithms, and to propose a more robust solution that would consider the range of characteristics that these protocols have. A wide-band energy detection with adaptive threshold is used for extracting specifications of some remote control communications that use spread spectrum modulation.",
keywords = "deeplearning, dronecommunications, energydetection, frequencyhopping, jamming",
author = "Paul Stoica and Sanjoy Basak and Cristian Molder and Bart Scheers",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 13th International Conference on Communications, COMM 2020 ; Conference date: 18-06-2020 Through 20-06-2020",
year = "2020",
month = jun,
doi = "10.1109/COMM48946.2020.9142017",
language = "English",
series = "2020 13th International Conference on Communications, COMM 2020 - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "233--238",
booktitle = "2020 13th International Conference on Communications, COMM 2020 - Proceedings",
}