运动模型;
随机高斯分布;
协方差矩阵;对称;
预测矩阵;
cov(AX,BY)=Acov(X,Y)B'
预测值的更新;
协方差矩阵的更新;
外界影响;控制矩阵;控制向量;
外部不确定性;噪音(高斯);协方差;
估计值:
协方差:表示不确定性;
In other words, the new best estimate is a prediction made from previous best estimate, plus a correction for known external influences.
And the new uncertainty is predicted from the old uncertainty, with some additional uncertainty from the environment.
测量值:
通过测量值来修正估计值;
联合高斯分布:
卡尔曼增益;
参考
1. How a Kalman filter works, in pictures;
2. X,Y是随机变量,A,B是常数矩阵,如何证明cov(AX,BY)=Acov(X,Y)B'?
完