基于平滑数据关联策略的线性多目标无人机轨迹跟踪OA

In order to improve the performance of track targeting and false track recognition,a linear multi-target trajectory tracking for UAV based on smooth data association strategy is proposed.The linear multi-target association was integrated through smooth data association,and the updated target existence probability and target state estimation were smoothed.Backward linear multi-target association obtained backward estimation,and smooth multi-target data association probability obtained forward estimation and smooth estimation.The state transition model was further used to detect the target motion,so that the prior information of its initial position was not required.Numerical simulation and experimental results show that the proposed method can significantly improve the estimation accuracy of a large number of cross targets under heavy interference conditions.