improved kalman-filter

基本解释

This thesis concentrates on the method of improved fixed-gain Kalman filter.
介绍一种改进的固定增益卡尔曼滤波方法。
In the part of tracking, combining the improved Mean-Shift algorithm and Kalman filter prediction.
在跟踪部分，采用改进的均值漂移算法和卡尔曼滤波预测结合。
Realistic simulation data are presented to support these findings and to compare algorithm performance with respect to the improved extended kalman filter as well as the pseudo-linear filter.
文中给出了仿真数据结果，并与准线性卡尔曼滤波器，改进型推广卡尔曼滤波器作了比较。