Improved Optimization Algorithm for Unmanned Aerial Vehicle Measurement and Trajectory Allocation Problems
This article focuses on the problem of multi track measurement allocation in unmanned aerial vehicle detection and tracking.Radar generates multiple trajectories in different situations by effectively tracking drones.This article is based on the linear connection of convex points in the measurement area,which compensates for the shortcomings of conventional methods caused by concavity in the measurement area,and achieves the optimal allocation of drone measurements and trajectories.Compared with other comparative methods used to solve unmanned aerial vehicle measurement and trajectory allocation problems,this optimization algorithm can improve result uncertainty,false alarms,and clutter problems.
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维普
