The main idea of Kalman filtering is to describe the linear dynamic system using state equation and measurement equation.

卡尔曼滤波的主要思想，是用状态方程和量测方程描述线性动态系统。

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Combining the separation principle with a direct construction method, we get the optimal control which is the linear feedback of the state filtering estimation.

结合分离原理和一种直接构造的方法，我们得到了显式的最优控制，它是状态滤波估计的线性反馈。

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The reconstruction of flight path is formulated as a discrete, linear, time-variant state reconstruction problem which can be solved by Kalman filtering techniques.

为了得到状态估计的快速算法，本文把非线性飞行轨迹重构转化为线性、离散、时变状态和参数估计问题。

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