When Kalman filtering cannot track efficiently the state with abrupt changes, MSTKF switches to strong tracking filtering with varying softening factor.
当卡尔曼滤波不能有效跟踪突变状态时，MSTKF切换为可变弱化因子的强跟踪滤波。
A slightly modified strong tracking filtering algorithm is used to estimate the reduced-order state vector, which is then used to estimate the nonlinear state function.
采用一种稍加修改的强跟踪滤波算法估计降阶状态向量，然后利用降阶状态向量估计非线性状态函数。
By combining the strong tracking filtering theory with data fusion estimation approaches, we put forward a new fusion estimation algorithm of multi sensor based on strong tracking filter.
将强跟踪滤波理论与多传感器数据融合估计方法相结合，提出基于强跟踪滤波器的多传感器数据融合估计新算法。
In this paper, the theory of Strong tracking filtering (STF) is applied in the object prediction of autonomous robots to avoid the disadvantages of other methods by introducing fading factors.
本文提出将强跟踪滤波理论应用于全自主机器人目标预测，通过引入渐消因子，克服了其它目标预测方法的缺点。
In this paper, the theory of Strong tracking filtering (STF) is applied in the object prediction of autonomous robots to avoid the disadvantages of other methods by introducing fading factors.
本文提出将强跟踪滤波理论应用于全自主机器人目标预测，通过引入渐消因子，克服了其它目标预测方法的缺点。
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