在现代空战中,由于作战的需要,飞机运动会出现高度机动的情况。讨论了高度机动模型(Jerkmodel)目标跟踪问题,根据机载传感器中不同类型传感器的特点,提出了在高度机动模型下基于坐标转换Kalman滤波的异步目标跟踪融合算法。仿真结果表明,该算法可以有效地改善跟踪高度机动目标的性能。
In modem air battlefield, motion of airplane would have the case of highly maneuvering due to the necessary of the battle, This paper discusses the Jerk model of tracking highly maneuvering targets, According to the characteristic of dissimilar airborne sensors, an asynchronous target tracking fusion algorithm is presented using Jerk motion model and converted measurement Kalmanfilter, The improved performance of this algorithm is illustrated through simulation.