Research on Fusion Localization Method for High-Speed Target Landing Point Based on Multi-Source Information

In order to improve the accuracy of the landing point of high-speed targets in complex environments, a fusion localization method based on multi-sensor information is proposed. By estimating the motion states of target before landing by each sensor, the position information of the landing point is predicted. Then, the covariance intersection algorithm is used to fuse the estimated motion states of multiple targets. This method effectively solves the problem of accurate estimation of the landing point of high-speed targets, reduces estimation errors, and avoids the drawback of degraded tracking performance caused by data correlation in distributed sensor fusion tracking. Simulation results demonstrate that the proposed method can effectively improve the accuracy of landing point estimation for high-speed targets and has practical engineering applicability in the field of multi-source information fusion localization and tracking.