1) ensemble Kalman filter data assimilation
集合Kalman滤波同化
1.
The Kalman filter data assimilation methods were applied in dynamical systems,the result of ensemble Kalman filter was compared with three dimension variational data assimilation,and the elementary properties of the ensemble Kalman filter data assimilation techniques were discussed.
为了研究集合Kalman滤波同化技术应用于非线性动力学模式的同化效果,通过利用集合Kalman滤波技术对浅水理论中均质不可压流体运动的动力学模式进行理想的数据同化试验。
2) Ensemble Kalman filter
集合Kalman滤波
1.
Application Researth on the Ensemble Kalman Filter (EnKF) with a Medium-Range Numerical Weather Prediction (NWP) Spectral Model at a T106L19 Resolution;
集合Kalman滤波在T106L19中期数值预报谱模式中的应用研究
2.
There is tremendous rationale that ensemble Kalman filtering apply to the numerical forecast data assimilation.
集合Kalman滤波用于数值试验有着雄厚的理论基础。
3.
The performance of data assimilation using the “flow-dependent” statistics calculated from an ensemble of short-range forecasts (termed as Ensemble Kalman Filter, EnKF) with 100 members compared with Optimal Interpolation (OI) is examined in an idealized environment.
目前一种比较流行并且可行的同化方法-集合Kalman滤波(EnKF)能够计算依赖于流的误差统计量。
5) Combined Kalman Filtering
组合Kalman滤波器
1.
The Application of Combined Kalman Filtering to the Kinematic GPS Positioning;
组合Kalman滤波器在GPS动态定位中的应用
6) federated Kalman filter
联合Kalman滤波器
1.
GPS/DR Integrated Vehicle Navigation System Based on MEMS and Design of Federated Kalman Filter;
基于MEMS的GPS/DR车载组合导航系统及联合Kalman滤波器的设计
2.
A federated Kalman filter algorithm based on multi-sensor fusion of several sensors in optoelectronic tracking system is proposed.
利用融合光电跟踪系统多个传感器信息可以提高系统性能的特点,研究了采用联合Kalman滤波器的融合算法。
补充资料：adaptive Kalman filter
分子式：
CAS号：
性质：在利用测量数据进行滤波的同时，不断地由滤波本身去判断系统的动态是否有变化，对模型参数和噪声统计特性进行估计和修正，以改进滤波设计，缩小滤波的实际误差。此种滤波方法将系统辨识与滤波估计有机地结合为一体。
CAS号：
性质：在利用测量数据进行滤波的同时，不断地由滤波本身去判断系统的动态是否有变化，对模型参数和噪声统计特性进行估计和修正，以改进滤波设计，缩小滤波的实际误差。此种滤波方法将系统辨识与滤波估计有机地结合为一体。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条