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自适应扩展增量 Kalman 滤波方法

傅惠民 吴云章 娄泰山

傅惠民, 吴云章, 娄泰山. 自适应扩展增量 Kalman 滤波方法[J]. 航空动力学报, 2012, 27(8): 1734-1737.
引用本文: 傅惠民, 吴云章, 娄泰山. 自适应扩展增量 Kalman 滤波方法[J]. 航空动力学报, 2012, 27(8): 1734-1737.
FU Hui-min, WU Yun-zhang, LOU Tai-shan. Adaptive extended incremental Kalman filter method[J]. Journal of Aerospace Power, 2012, 27(8): 1734-1737.
Citation: FU Hui-min, WU Yun-zhang, LOU Tai-shan. Adaptive extended incremental Kalman filter method[J]. Journal of Aerospace Power, 2012, 27(8): 1734-1737.

自适应扩展增量 Kalman 滤波方法

基金项目: 国家重点基础研究发展计划(2012CB720000)

Adaptive extended incremental Kalman filter method

  • 摘要: 基于扩展增量Kalman滤波方法(EIKF)和自适应增量Kalman滤波(AIKF),建立自适应扩展增量Kalman(AEIKF)模型及其分析方法,给出递推算法.在许多实际情况(如深空探测),由于环境因素的影响、测量设备的不稳定性等原因,量测方程往往存在未知的系统误差,并且模型参数也具有不确定性,结果导致较大的Kalman滤波误差,影响滤波的收敛性.提出的AEIKF方法能够成功消除这种未知的系统误差,并能够实时估计变化的噪声统计量,提高Kalman滤波精度.该方法计算简单,便于工程应用.

     

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出版历程
  • 收稿日期:  2012-02-29
  • 刊出日期:  2012-08-28

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