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1)  ensemble Kalman filter assimilation
集合卡尔曼滤波同化
2)  ensemble Kalman filter
集合卡尔曼滤波
1.
Assisted history-matching method based on ensemble Kalman filter
基于集合卡尔曼滤波的油藏辅助历史拟合
2.
Application of Ensemble Kalman filter to streamflow forecasting on hydrological model
集合卡尔曼滤波在流域水文模型流量预报中的应用
3.
Real-updating multivariate analysis for unsteady flows with ensemble Kalman filter
水动力学模型与集合卡尔曼滤波耦合的实时校正多变量分析方法
3)  Ensemble Kalman Filter(EnKF)
集合卡尔曼滤波(EnKF)
4)  Ensemble Transform Kalman filter
集合变换卡尔曼滤波
5)  concentrated Kalman filter
集中卡尔曼滤波
1.
Some filter methods in integrated navigation system were presented,such as the concentrated Kalman filter and the federal Kalman filter in traditional filter methods,and the neural network filter in the nontraditional filter methods.
介绍了用于组合导航系统中的几种常用的滤波方法—如传统滤波方法中的集中卡尔曼滤波和联邦卡尔曼滤波、非传统滤波方法中的神经网络滤波,并从理论上分析了传统滤波方法和非传统滤波方法的优点和不足,最后以SINS/GPS组合导航系统为例进行了仿真。
6)  Federated kalman filter
联合卡尔曼滤波
1.
Study of fault-detection and fault-tolerant of sensor susing on fuel cell engine basing on federated Kalman filter;
基于联合卡尔曼滤波器的燃料电池传感器故障检测与容错研究
2.
In order to overcome the disadvantages of regular federated Kalman filter,a fuzzy Kal- man filter based on genetic algorithm was presented and applied in information fusion of the GPS/DR vehicle integrated navigation system.
针对常规联合卡尔曼滤波存在的缺陷,提出基于遗传优化的模糊卡尔曼滤波方法,并运用于全球定位系统(GPS)/轨迹推算系统(DR)汽车组合导航的数据融合中。
3.
Multi-sensor fusion technology based on adaptive federated Kalman filter is researched.
针对全球定位系统信号易受城市复杂的环境干扰,接收不可靠、航位推算只能进行短时间高精度导航、地图匹配仅可在拐弯处才能提供与地图精度相当的修正信息、城区车辆导航存在“盲区”问题,研制了采用蓝牙技术的新型路标传感器,研究了基于自适应联合卡尔曼滤波算法的多传感器信息融合技术。
补充资料:卡尔曼滤波
      见波形估计。
  

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