说明：  卡尔曼滤波是贝叶斯滤波的一种特例,是在线性滤波的前提下,以最小均方误差为最佳准则的。估计线性高斯模型,是对线性模型和高斯分布的优化方法。
(Kalman filtering is a special case of Bayesian filtering, which takes the minimum mean square error as the best criterion on the premise of linear filtering. Estimating linear Gauss model is an optimization method for linear model and Gauss distribution.)