Research on maneuvering target tracking algorithm based on information fusion using the singer model
Surface targets typically perform evasive maneuvers in response to incoming anti-ship missiles.In active ob-servation modes,the long detection intervals can lead to significant errors in calculating the position of maneuvering targets,which in turn affects the hit probability of our anti-ship weapons.To address this issue,this paper proposes a maneuvering target tracking algorithm based on the Singer model and information fusion.This algorithm integrates passive and active de-tection information and constructs virtual measurements.By sharing and complementing information,the accuracy of target measurement information is enhanced.Meanwhile,in order to avoid the boundary conditions causing the algorithm to di-verge,the asymptotic cancellation factor is introduced into the filtering,which improves the robustness of the algorithm.This paper conducts simulation validations and comparative analyses on two typical target maneuver strategies.The results show that under these two maneuver strategy models,the proposed algorithm improves the average calculation accuracy by 35.51％and 40.84％respectively compared to the active observation mode,demonstrating the effectiveness of the algorithm.
万方数据
维普
