Research on guidance method of cooperative tracking ground multi-target using UAV group

Abstract

Multi-UAV (unmanned aerial vehicle) cooperative tracking target is one of the standard exercises for unmanned aircraft systems, it is important to track multiple targets in actual missions due to the clustering of military missions. It is of great research interest and more difficult to use fewer multi-UAV to track more targets effectively, the aim of which is to be more efficient in tracking, and high precision positioning. This paper explores the key issues in the complex environment of UAV community cooperative multi-target monitoring. The architecture of the UAV group cooperative the multi-target tracking system is built in a complex environment firstly. Then a proposal was made for a dynamic grouping algorithm for multi-target UAV group tracking in an occlusion region, an adaptive multi-model unscented Kalman particle filter fusion algorithm, and a fast guidance method for cooperative target tracking in a restricted environment. The feasibility of the proposed method is validated by simulation and flight test evaluations. Finally, there is a prospect for the next course of research in this field.