A new fading filtering algorithm is developed based on the property of Kalman filter that the sequence of residuals is uncorrelated when the optimal gain is used.
本文依据卡尔曼滤波器在使用最佳增益时，其余差序列互不相关的性质，开发了一种新的渐消滤波算法。
Then the pose of longitudinal motion is estimated by linear Kalman filter. Finally, an optimal control rule is constructed by LQG performance index.
其次，利用线性卡尔曼滤波器对其纵向运动姿态进行估计，依据LQG性能指标构造了最优控制规律。
Kalman filter is a high efficiency, optimal data process method, which is a realtime recursive filter of linear, non-bias and least square.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
Kalman filter is a high efficient, optimal data process method, which is a real time recursive filter based on linear, non-bias and least square approach.
卡尔曼滤波，是线性、无偏、最小方差的实时递推滤波，是一种高效、优化的数据处理方法。
The optimal filter technology (Kalman Filter) was used to estimate the error and the SINS was corrected by the optimal error.
运用卡尔曼滤波对系统误差进行最优估计，将校正后的SINS数据作为综合定位系统的输出。
The paper introduces the Kalman filter method that is an Optimal Recursive Data Processing Algorithm, which can separate these two components and filter out other random noises.
本文引进了一种最优化自回归数据滤波算法——卡尔曼滤波来分离这两个分量和消除其他随机噪声。
The Kalman Filter is widely applied in the Information Fusion at the present, which can get the optimal estimate in the Linear-Gaussian model, but not applied in the nonlinear and non-Gaussian model.
目前在信息融合领域广泛使用的融合算法是卡尔曼滤波，它在线性高斯模型下能得到最优估计，但在非线性非高斯模型下则无法应用。
Moreover, the optimal state-feedback control modules and Kalman filter are added in the model, then the whole LQG control system is constructed directly.
在此基础上，应用了最优状态反馈控制和卡尔曼滤波器模块，构成了完整的LQG控制系统。
After performing Kalman filter, the optimal state estimation can be obtained.
进行卡尔曼滤波后，可以获得系统状态最优估计值。
This paper first introduced the kalman filter, to all sorts of navigation data information fusion, thus constituting navigation system, in order to get the optimal estimation system state.
本文首先介绍了卡尔曼滤波器，对各种导航数据进行信息融合，从而组成导航系统，以获取系统状态的最优估计。
This paper first introduced the kalman filter, to all sorts of navigation data information fusion, thus constituting navigation system, in order to get the optimal estimation system state.
本文首先介绍了卡尔曼滤波器，对各种导航数据进行信息融合，从而组成导航系统，以获取系统状态的最优估计。
应用推荐