The invention relates to an intelligent cooperative tracking method of a remote sensing constellation to an aerial moving target. The invention relates to the technical field of artificial intelligence, and designs a multi-target staring tracking model and a double-star geometric positioning model for multi-star cooperative tracking of HGVs by a remote sensing constellation to realize tracking and positioning of the HGVs. According to the invention, tracking and positioning of a hypersonic flight vehicle by a remote sensing constellation are key problems in space-based early warning. The cooperative positioning process of the remote sensing constellation on the HGVs is a many-to-many dynamic task allocation process. Task allocation of early warning satellites has time sequence relevance and dynamism, so that a decision algorithm is faced with the problems of large solution space and easy falling into local optimum. Meanwhile, the high maneuverability of the HGVs puts forward a new challenge to the real-time performance of a task decision algorithm of a remote sensing constellation.
本发明是一种遥感星座对空中动目标的智能协同跟踪方法。本发明涉及人工智能技术领域,本发明针对遥感星座对HGVs多星协同跟踪问题,设计了多目标凝视跟踪模型和双星几何定位模型,实现对HGVs的跟踪和定位。本发明针对遥感星座对高超声速飞行器的跟踪和定位是天基预警中的关键问题。遥感星座对HGVs的协同定位过程是一个多对多的动态任务分配过程。预警卫星的任务分配存在时序关联性和动态性,因此决策算法将面临解空间较大和容易陷入局部最优的问题。同时,HGVs的高机动性对遥感星座的任务决策算法的实时性提出了新的挑战。
Intelligent cooperative tracking method for aerial moving target by remote sensing constellation
一种遥感星座对空中动目标的智能协同跟踪方法
2023-06-23
Patent
Electronic Resource
Chinese
IPC: | B64G Raumfahrt , COSMONAUTICS |
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