The temporal effects , when appropriately modeled , can be taken into account by means of the kalman filter theory.
此一时间上的相关性经过适当的模式化后，可借由卡曼滤波器的理论将其纳入。
The Kalman filter theory is introduced and the dynamic error vector equation of the initial alignment is derived at the first.
首先介绍了卡尔曼滤波理论及相关技术，建立了系统卡尔曼滤波的状态方程和观测方程；
At first, the application background of Kalman filter theory is introduced. Then, discrete Kalman filter equations are derived, and state equations of continuous system are discreted.
首先介绍了卡尔曼滤波理论的应用背景，然后推导了离散卡尔曼滤波方程，并对连续系统的状态方程进行离散化。
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