Counter UAS Solutions Through UAV Swarm Environments
Martin Pozniak, Prakash Ranganathan · 2019
This work proposes a scalable unmanned aircraft system (UAS) swarm framework for autonomous detection of rogue unmanned aerial vehicles (UAVs) in a defined airspace. Data from UAV sensor systems is communicated between each swarm entity to coordinate a mission without operator or ground control intervention. The use of an autonomous UAV swarm for counter-UAS hosts many benefits over traditional ground-based units such as providing a method for active intervention with a rogue UAS with low regret mitigation methods. This work details preliminary hardware and software testbed development that can be improved upon to create commercial systems.