一种基于在线迭代优化算法的多弹协同围捕拦截方法、装置、介质及产品
By using online iterative optimization algorithms to predict target trajectories and plan interception trajectories, the problem of trajectory prediction in the interception of highly maneuverable targets was solved, the interception success rate and window period were improved, and the precise interception of targets was achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- BEIHANG UNIV
- Filing Date
- 2024-04-29
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to effectively predict target trajectories when conducting coordinated interception of highly maneuverable targets, resulting in short interception windows and insufficient consideration of the correlation between the missile interception domain and the target reachability domain, thus impacting the interception success rate.
An online iterative optimization algorithm is adopted to obtain the motion state of the target aircraft, predict the flight trajectory using a kinematic model, determine the expected interception point, set the intermediate guidance target point, and calculate the interceptor missile control quantity sequence based on the MPSP algorithm to realize intermediate guidance missile trajectory planning. Iterative optimization is performed when the target maneuvers.
It improves the accuracy of intercepting highly maneuverable targets, expands the interception window, enhances the interception success rate, and achieves coverage of the target prediction and interception and collaborative interception domains.
Smart Images
Figure CN118444570B_ABST