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Multi-UAV Cooperative Detection Method for Ballistic Missile Boosting Section

机译:弹道导弹助推段的多无人机协同检测方法

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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:为了对远程弹道导弹助推段进行协同检测,提出了一种基于双重UAV协同检测的多UAV协同检测方法,该方法将试验性的飞行轨迹优化与三轴分离IMM-EKF(TASIMM-EKF)相结合。 )过滤算法。首先,考虑无人机位置对目标定位精度的影响,提出了试探性机动轨迹优化策略,对各条检测无人机进行了轨迹优化。同时提出了一种三轴分离IMM-EKF滤波算法。仿真结果表明,该方法可以有效地提高状态估计精度,缩短估计时间,具有良好的机动目标状态估计性能。它为下一步的拦截问题研究提供了理论指导和技术支持。

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