Motion mode distribution of spiral maneuvering target during reentry phase

Shengwen Xiang, Pei Wang, Ye Yang, Kai Da, Hongqi Fan
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Abstract

Obtaining the probability density distribution of target motion mode is the basis for model set design in multi-model tracking methods. During reentry, the target is expected to perform a violent spiral maneuver due to aerodynamic resonance between roll and pitch modes, the motion of target is highly nonlinear and the spiral frequency is a prior unknown random variable. This paper evaluates the probability distribution of spiral frequency of reentry target under three different types of maneuvering control inputs, which can provide guidelines for the design of model sets. This work is based on the dynamic model of reentry spiral motion presented in this paper, whose effectiveness has been verified by using a large number of Monte Carlo simulations.
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重返大气层阶段螺旋机动目标的运动模式分布
获取目标运动模式的概率密度分布是多模式跟踪方法中模型集设计的基础。在再入大气层过程中,由于滚转和俯仰模式之间的气动共振,预计目标会进行剧烈的螺旋机动,目标的运动是高度非线性的,螺旋频率是一个先验未知的随机变量。本文评估了再入大气层目标在三种不同类型的机动控制输入下螺旋频率的概率分布,可为模型集的设计提供指导。这项工作以本文提出的再入螺旋运动动态模型为基础,并通过大量蒙特卡罗模拟验证了该模型的有效性。
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