The kalman filter algorithm under hybrid coordinate and unscented transformation (UT) algorithm are investigated.
研究了混合坐标系下的卡尔曼滤波算法和采样变换(UT)算法。
At present, there are many algorithms to achieve position tracking, such as the Kalman filter algorithm, extended Kalman filter algorithm, particle filter algorithm and so on.
目前，实现定位跟踪的算法有很多，如卡尔曼滤波算法、扩展卡尔曼滤波算法、粒子滤波算法等。
By combining the motion state equation with the Kalman filter algorithm, a mathematic calculation method for accurate prediction of the polished rod speed of the pumping unit is worked out.
把抽油机运动状态方程和卡尔曼滤波算法相结合，构造了一套适用的精确预测抽油机悬点速度的数学算法。
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