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混合高斯测量噪声下的多模型滤波
引用本文:张永安,周荻,段广仁.混合高斯测量噪声下的多模型滤波[J].中国航空学报,2004,17(4):229-234.
作者姓名:张永安  周荻  段广仁
作者单位:Center for Control and Guidance,Harbin Institute of Technology,Harbin 150001,China,Center for Control and Guidance,Harbin Institute of Technology,Harbin 150001,China,Center for Control and Guidance,Harbin Institute of Technology,Harbin 150001,China
基金项目:NationalNaturalScienceFoundationofChina ( 60 10 40 0 3 ,60 3 742 0 4) .
摘    要:就带有混合高斯测量噪声的离散时间系统 ,提出了一种简化的多模型滤波。理论分析证明该滤波方法用较少的计算量得到了与交互多模型滤波相同的估计性能。为满足应用要求 ,给出了该滤波器的数值鲁棒实现方法。一个关于仅有方位测量的制导例子验证了该滤波算法的有效性。

关 键 词:状态估计  多模型滤波  交互多模型  混合高斯分布  目标跟踪  仅有方位测量的制导

Multiple Model Filtering in the Presence of Gaussian Mixture Measurement Noises
ZHANG Yong-an,ZHOU Di,DUAN Guang-ren.Multiple Model Filtering in the Presence of Gaussian Mixture Measurement Noises[J].Chinese Journal of Aeronautics,2004,17(4):229-234.
Authors:ZHANG Yong-an  ZHOU Di  DUAN Guang-ren
Abstract:A simplified multiple model filter is developed for discrete-time systems in the presence of Gaussian mixture measurement noises. Theoretical analysis proves that the proposed filter has the same estimation performance as the interacting multiple model filter at the price of less computational cost. Numerically robust implementation of the filter is presented to meet practical applications. An example on bearings-only guidance demonstrates the effect of the proposed algorithm.
Keywords:state estimation  multiple model filter  interacting multiple model  Gaussian mixture  target tracking  bearings-only guidance
本文献已被 CNKI 维普 万方数据 等数据库收录!
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