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Multi-UAV Cooperative Detection Method for Ballistic Missile Boosting Section

机译:弹道导弹升压部分多UAV合作检测方法

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For the cooperative detection of the long-range ballistic missile boosting segment, a multi-UAV cooperative detection method was proposed based on the dual-UAV cooperative detection, which combines the tentative maneuvering trajectory optimization with the triaxial separation IMM-EKF (TASIMM-EKF) filtering algorithm. Firstly, considering the influence of the position of the drones on the target positioning accuracy, the tentative maneuvering trajectory optimization strategy was proposed for the trajectory optimization of each detecting drone. At the same time, a three-axis separation IMM-EKF filtering algorithm was proposed. The simulation results show the proposed method can improve the state estimation accuracy effectively, shorten the estimation time, and have good performance for maneuvering target state estimation. It provides theoretical guidance and technical support for the next study of interception problems.
机译:对于远程弹道导弹升压段的协同检测,基于双UAV协作检测提出了一种多UAV协作检测方法,该方法将暂定的机动轨迹优化与三轴分离IMKF(TasiMM-EKF相结合。 )过滤算法。首先,考虑到无人机的位置对目标定位精度的影响,提出了每个检测无人机的轨迹优化的初步操纵轨迹优化策略。同时,提出了一种三轴分离IMKF过滤算法。仿真结果表明,所提出的方法可以有效地提高状态估计精度,缩短估计时间,并具有良好的操纵目标状态估计性能。它为下一次对拦截问题进行了研究提供了理论指导和技术支持。

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