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高超声速滑翔飞行器多模型鲁棒跟踪方法

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针对高超声速滑翔飞行器(HGV)具有机动能力强、机动样式多变、机动时机不确定等特点,提出了一种基于有向图变结构多模型的鲁棒跟踪(CHF-DSVSMM)方法.考虑到高超声速滑翔飞行器的跳跃滑翔运动特性,建立了包括自适应非零均值衰减震荡(ANMDO)模型、"当前"统计模型(CSM)等机动模型的模型集.针对固定结构多模型算法存在模型相互竞争、运算时间长的缺点,设计了基于有向图结构的切换准则自适应地改变模型集构成,提高模型匹配性.对于地基雷达探测中存在闪烁噪声的问题,采用容积Huber-based滤波方法进行状态估计.仿真结果表明,所提算法与现有方法相比具有更高的跟踪精度,并对闪烁噪声具有良好的鲁棒性.
A Multiple Model Based Robust Tracking Method for Hypersonic Gliding Vehicle
A novel cubature Huber-based filter based on digraph switching variable structure multiple model(CHF-DSVSMM)is proposed for hypersonic gliding vehicle(HGV),which has the characteristics of strong maneuverability,changeable maneuvering form and uncertain maneuvering timing.A set of maneuvering models including adaptive non-zero mean damping oscillation(ANMDO)model and current statistical model(CSM)is developed for the characteristics of jump gliding motion.Considering that the model set of the fixed structure multi-model algorithm has the disadvantages of competition and long operation time,a switching criterion based on digraph structure is designed to change the composition of model set adaptively and improve model matching.In order to solve the problem of glint noise in the detection of HGV by ground-based radar,the cubature Huber-based filtering method is used to estimate the state.Simulation results show that compared with the existing methods,the proposed algorithm has higher tracking accuracy and better robustness to glint noise.

Hypersonic targetVariable structure multiple modelDigraph switchingHuber filter

王瑞鹏、王小刚、张豪杰

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哈尔滨工业大学航天学院,哈尔滨 150001

北京电子工程总体研究所,北京 100854

高超声速目标 变结构多模型 有向图切换 Huber滤波

2024

宇航学报
中国宇航学会

宇航学报

CSTPCD北大核心
影响因子:0.887
ISSN:1000-1328
年,卷(期):2024.45(2)
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