引用本文:盛 梅, 邹 云.时变系统的统一和通用的最优噪声估值器[J].控制理论与应用,2005,22(3):511~514.[点击复制]
SHENG Mei, ZOU Yun.Unifying and universal optimal noise estimators for time-varying systems[J].Control Theory and Technology,2005,22(3):511~514.[点击复制]
时变系统的统一和通用的最优噪声估值器
Unifying and universal optimal noise estimators for time-varying systems
摘要点击 1073  全文点击 994  投稿时间:2003-05-04  修订日期:2004-09-29
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DOI编号  10.7641/j.issn.1000-8152.2005.3.035
  2005,22(3):511-514
中文关键词  噪声估值器  平滑器  Kalman滤波
英文关键词  noise estimator  smoother  Kalman filter
基金项目  国家自然科学基金资助项目(60474078).
作者单位
盛 梅, 邹 云 南京理工大学 自动化系,江苏 南京 210094 
中文摘要
      对于带相邻及同一时刻相关噪声的时变系统,基于Kalman滤波理论提出了统一和通用的最优噪声估值器,包括观测噪声估值器和输入噪声估值器,提出了统一和通用的固定点和固定区间的最优噪声平滑器,它们为解决状态和信号估计问题提供了新的工具.一个仿真算例说明了其有效性.
英文摘要
      Unifying and universal optimal noise estimators are presented for the time-varying systems with the correlated noise both at the same time and the next time,including the measurement noise estimators and input noise estimators.Unifying fixed-point and fixed interval optimal noise smoothers are also presented.They provide a new tool in solving the problems of the state and signal estimators.A simulation example is given to show the effectiveness of those estimators.