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粒子滤波及其在航天器交会对接相对导航中的应用 被引量：5

Application of Particle Filtering in Relative Navigation Filter Design for Spacecraft
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摘要 在全面分析粒子滤波原理的基础上,提出一种改进高斯粒子滤波方法.该方法利用确定性采样滤波算法进行时间更新,替代高斯粒子滤波算法中的随机采样过程;另外,针对厚尾噪声情况,利用鲁棒统计方法对确定性采样滤波方法进行鲁棒性改进,并将其应用于所提出的改进高斯粒子滤波.将粒子滤波算法应用于交会对接相对导航问题,仿真结果表明,在多种测量噪声情况下,改进高斯粒子滤波较其他粒子滤波,能够在不过多损失估计精度的同时有效降低计算量.文中的研究成果为将粒子滤波应用于航天器导航问题提供了理论参考. Based on analyzing the theory of Particle filtering,a novel modified Gaussian Particle Filtering is proposed in this paper.In the new filter,a deterministic sampling filtering is used to fulfil the time update instead of random sampling mode;Furthermore,deterministic sampling filtering is modified by using a robust statistical method to make it robust for heavy-tail noise,and the result of the robust deterministic sampling filtering is adopted as the proposal distribution.The modified Gaussian particle filter is used in the relative navigation filter design for RVD,and the simulation results show the efficiency of the new method.The results in this paper are the valuable reference for practical application of particle filtering in space navigation field.
作者 刘涛 解永春 胡海霞
机构地区 北京控制工程研究所 空间智能控制技术重点实验室
出处 《空间控制技术与应用》 2011年第6期19-27,共9页 Aerospace Control and Application
关键词 粒子滤波 高斯粒子滤波 确定性采样滤波 交会对接 相对导航 particle filtering gaussian particle filter deterministic sampling filtering rendezvous and docking relative navigation
分类号 V448.224 [航空宇航科学与技术—飞行器设计]
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参考文献17

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二级参考文献65

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共引文献99

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引证文献5

二级引证文献21

空间控制技术与应用
2011年 第6期

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