2) Information fusion Kalman filter
信息融合Kalman滤波器
1.
Performance comparision of information fusion Kalman filters weighted by three different ways;
按三种不同加权准则的信息融合Kalman滤波器的性能比较
3) decoupled information fusion in Kalman filter
解耦信息融合Kalman滤波器
4) information fusion steady-state Kalman filter
信息融合稳态Kalman滤波器
1.
Two-sensor information fusion steady-state Kalman filter weighted by diagonal matrices;
两传感器按对角阵加权信息融合稳态Kalman滤波器
5) 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。
6) self-tuning information fusion Kalman filter and Wiener filter
自校正信息融合Kalman滤和Wiener滤波器
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