Detecting Unmanned Aerial Vehicle based on Artificial Inteligence techniques

Abstract

In this paper, we propose method for detection of drone and classification using different algorithms of machine learning by recording the RF spectrum. We tried to find the best algorithm we have a good accuracy. In this research we collected the Radio frequency dataset because it is the most efficient detection method in terms of price / quality ratio, we also carried out a preprocessing procedure and a better training we using Cross-Validation technique for evaluating ML models by training several ML models on subsets of the available input data and evaluating them on the complementary subset of the data. We use cross-validation to get many results we chose 10 algorithm of ML and chose the best one of them. Although the airspace contains many waves, including radio frequencies, Wi-Fi ,GPS,resaux mobile ,radar ,wireless data ,UAV...etc. We were able to reach a very acceptable result as a start in this project.