·Assessment of Unmanned Aerial Vehicle Cluster Detection and Perception Capability

Abstract

For the evaluation of unmanned aerial vehicle (UAV) cluster detection and perception capability, a model for assessing the UAV cluster detection and perception capability is established based on the reconnaissance mission of the swarm. An evaluation method based on the three-parameter interval number weighted Hamy mean operator, analytic hierarchy process (AHP), and entropy weight method is proposed. Firstly, an evaluation matrix is established at multiple moments. Secondly, the evaluation matrices of multiple moments are aggregated through the inverse form of the Poisson distribution. Then, the weights of the indicators are calculated using the combination weighting method. Finally, the three-parameter interval number weighted Hamy mean operator is used to aggregate the evaluation indicator information. Simulation results show that the proposed evaluation method can effectively handle the uncertainty of information and is suitable for complex combat environments, providing quantitative references for decision-making related to UAV swarm operations.