光电经纬仪对机动目标跟踪算法的研究

Investigation of Algorithm for Maneuvering Targets Tracking in Electro- optic Theodolite

被动式跟踪基本上都是假定目标作匀速或匀加速直线运动,跟踪问题较为简单,一旦目标发生机动,传统的跟踪方法就无法对机动目标进行稳定的跟踪。本文采用目标的位置、速度、加速度作为状态变量,基于“当前”统计模型对机动目标进行建模,并结合Kalman算法进行滤波,仿真表明了该算法在光电经纬仪中的适用性。

The traditional passive tracking methods basically were supposed that the tracts were constant velocity or constant acceleration beeline moving, and the tracking problems were simpler. But once tracts maneuver, it is impossible to track maneuvering targets steadly for the traditional tracking methods. Here the position, velocity and acceleration of targets as variables are regard. Modeling maneuvering targets based on ＂current＂ statistical model, combined with Kalman algorithm filtering. Finally simulation results indicate validity of the algorithm in electro-optic theodolite.