Model and procedures for the jammer and target allocation problem

Gül, Kıvanç
In this thesis, the problem of finding the jamming angles to neutralize the maximum number of drones using least number of directed RF jammers when swarm drones attack to an area protected by an Anti-Drone defense system composed of radar, an electro-optic director and a directed RF jammer was studied. First of all, in this study, prioritization of detected drone threats was realized using threat evaluation algorithms. Then, an optimization model was developed utilizing mathematical models that are used to solve set covering problems. Thus, a mathematical solution was ensured with this model which neutralizes the maximum number of high-priority threats by using the minimum number of directed RF jammer sub-systems. Along with developed mathematical model, an algorithm based on heuristic approach was developed to handle the same problem. To compare the mathematical model and heuristic approach solutions, numerical experiments were carried out for attacks with different number of drones coming at random angles to an area protected by different number of RF jammers located so that the protected area is fully covered. Numerical experiments showed that heuristic approach yielded very close results as compared to mathematical model in a shorter time. This thesis is of significance for being the first study to find the jamming angles and number of directed RF jammer systems to be used against swarm drone threats.
Citation Formats
K. Gül, “Model and procedures for the jammer and target allocation problem,” M.S. - Master of Science, Middle East Technical University, 2018.