kalman filter

基本解释

The navigation subsystem of the mobile robot fuses the position estimation obtained by a vision system with the position estimated by odometry using a Kalman filter.
移动机器人的导航子系统利用卡尔曼滤波器，融合由视觉系统与由里程计获得的位置估计值。
An image communication system over the time varying channels with Kalman filter tracking method is proposed in this paper, based on multi-antenna and the channel coding for good performance.
为得到高质量的传输图像，基于多天线通信系统，采用卡尔曼滤波跟踪方法对时变信道进行跟踪以获得更高的系统性能，并增加信道编码。
With the Kalman filter approach, the empirical research shows the model reconciles the time-series dynamics of yields with the cross-sectional shapes of the term structure.
通过卡尔曼滤波法对模型的实证分析，证实该模型基本上能在时间序列和横截面两个维度上与实际数据相符合。