为了实现复合轴捕获、跟踪与瞄准(acquisition,trackingandpointing,ATP)系统对高机动目标的跟踪,文中提出了一种目标跟踪算法思路:利用子系统精度远高于主系统精度的特点,在主系统观测数据基础上再构建了一组精度更高的观测数据。采用不同的交互式多模型集对两组观测数据进行独立滤波,并对得到的两组估计量做自适应调节数据融合处理。通过MATLAB仿真验证了算法的有效性。此算法实现了以相对少的模型种类覆盖更复杂的运动模式,且运算量适中。

In order to achieve the tracking of high maneuvering target by compound-axis ATP (Acquisition, Tracking and Pointing) system, in this paper, a target tracking algorithm idea was proposed. In view of the characteristics that the accuracy of the sub-system is much higher than the main system's, a set of observational data with higher precision can be built based on the main system's observational data. Then, carry out two groups of observation data filtering independently with different interactive multi-model sets, and conduct adaptive data fusion processing with the two groups of estimators. The MATLAB simulation results show that the effectiveness of the algorithm. This algorithm achieves the purposes of covering more complex movement patterns with relatively less motion model species, and its calculation is moderate.