Test and evaluation of jammer allocation algorithms for anti-drone systems: an agent-based simulation approach

Date

2024-8-23

Author

Baraklı, Ahmet Burak

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

77
views

197
downloads

Cite This

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.

Subject Keywords

Simulation-based test and evaluation, Agent-based simulation, Jammer allocation algorithms, Threat evaluation and weapon allocation, Anti-drone systems

URI

https://hdl.handle.net/11511/111002

Collections

Graduate School of Natural and Applied Sciences, Thesis