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1)  unscented Kalman filter
采样卡尔曼滤波
1.
To solve the problem of the instability,low accuracy of passive filter in Cartesian coordinate,and the strong nonlinearity in modified polar coordinate,the unscented Kalman filter is applied in the passive underwater target tracking in modified polar coordinate.
针对水下被动目标跟踪问题中,采用直角坐标系容易出现滤波发散,而修正极坐标系下过程模型强非线性的问题,研究了一种修正极坐标系下的采样卡尔曼滤波算法。
2.
For the problem that the extended Kalman filter(EKF) is difficult to design and prone to diverge,the unscented Kalman filter(UKF) algorithm based method is presented to solve the problems of the filter design and convergence.
针对扩展卡尔曼滤波器(EKF)设计困难并且容易发散的问题,提出基于采样卡尔曼滤波(UKF)的方法解决滤波器设计及收敛问题,并补偿低成本的惯性传感器陀螺仪和加速度计的误差,从而得到机器人姿态的最优估计。
3.
An initial alignment method for low-cost SINS is proposed,which uses nonlinear error model and the unscented Kalman filter(UKF).
提出适用于低成本捷联惯导系统的初始对准方法,即采用非线性对准模型和采样卡尔曼滤波(Unscented Kalman Filter)进行状态估计。
2)  IUKF(Iterated Unscented Kalman Filter)
迭代采样卡尔曼滤波
3)  Sampling Kalman filtering
采样卡尔曼滤
4)  Multi-rate Sampling Extended Kalman Filter
多采样率扩展卡尔曼滤波
5)  mutirate kalman synthesis
多抽样率卡尔曼滤波
6)  Kalman Filtering
卡尔曼滤波
1.
Study on seam tracking technique based on the Kalman Filtering;
基于卡尔曼滤波的焊缝跟踪技术研究
2.
Simultaneous Determination of Mixed Amino Acids by Kalman Filtering Spectrophotometry;
卡尔曼滤波分光光度法同时测定混合氨基酸
3.
Kalman filtering based traffic information fusion method;
基于卡尔曼滤波的交通信息融合方法
补充资料:卡尔曼滤波
      见波形估计。
  

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