Aiming at the problem that the trajectory of hypersonic targets in near space is interrupted due to the plasma sheath,a target trajectory detection and correlation algorithm under the condition of large time-space difference is proposed in the three-dimensional space.Multiple measurement points are transformed into the radial distance-time plane through Hough transform for non-coherent accumulation,and a low threshold is set to extract sub-tracks.According to the multi-information fusion of the time,speed,and azimuth between the sub-tracks,the sub-tracks belonging to the same real track are associated and the final track is output.The simulation results show that the algorithm has the ability of detection and correlation for multiple hypersonic targets interrupted track,which is of certain engineering practical significance.

Due to the lack of altitude information,aircraft targets can not be made track association by the distributed 2D radar network.A novel track association algorithm for 2D and 2D radar is proposed.The tracks coming from two radars belong to different places are united based on geometrical features of radars and target,and association function is created.The linear relationship between association function and radar measurement noise is built with the first-order of Taylor expansion of the association function,and the association threshold is obtained according to the confidence interval of measurement noise.The association cost matrix based on historical information is established after rough track association,and precise track association is realized through optimal assignment with Hungary algorithm.Simulation results demonstrate that the proposed method can solve the track association in distributed 2D radar network effectively,and be of certain practical application value.