A modified strong tracking Kalman filter (MSTKF) for linear stochastic systems is proposed.
针对线性随机系统提出了一种改进强跟踪卡尔曼滤波器(MSTKF)。
A new multisensor distributed track fusion algorithm is put forward based on combining the feedback integration with the strong tracking Kalman filter.
研究基于强跟踪滤波和反馈综合相结合的多传感器分布式航迹融合算法。
The results of simulation indicate that this new approach has a better accuracy than the traditional Kalman filter and strong tracking Kalman filter in the field of maneuvering target tracking.
仿真结果表明，该改进滤波器跟踪机动目标的精度高于常规卡尔曼滤波器和强跟踪卡尔曼滤波器。
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