This is an active project on learning Self-Awareness models for Cognitive-UAV-Radios
Our project aims to solve the Jammer detection, Jammer classification, and Anti-Jamming tasks following unsupervised data-driven approach.
In the Dataset folder we shared only one example of the commands received by the UAV during normal situation and during abnormal situation (i.e., under jamming attacks).
NOTE: After completing the project, other parts of the dataset and of the code for jammer detection, jammer classification and anti-jamming will be available here.
Run Alg0 to learn the vocabularies and Alg1 to detect the jammer.