Abstract
Abstract
The increasing use of unmanned aerial vehicles (UAVs) raised safety concerns that require effective anti-drone systems. This thesis intends to improve these systems by designing and implementing a simulation environment for evaluating jammer-angle allocation methods used in anti-drone defenses. The simulation aims to try real-world scenarios where attacking drones are tracked and then jammed to neutralize them. It offers a tool to evaluate the effectiveness of several jammer allocation techniques for a particular scenario. The simulation mimics how UAVs and jammers would behave and interact in a controlled setting using agent-based modeling. A user-specified reporter monitors and records key performance indicators for evaluating the algorithms performance. The intended use of the tool is to improve the planners understanding of jammer allocation mechanisms and help them optimize anti-drone defense tactics.