摘要
针对机动目标跟踪,提出了基于截断正态概率模型的改进自适应目标跟踪算法,该算法具有结构和计算简单,鲁棒性好的特点,通过仿真结果对比,充分说明了文中所提出的跟踪算法能够较好地弥补传统的Kalman滤波方法在跟踪机动目标时的不足.
To track the maneuvering targets, an improved adaptive tracking algorithm based on truncation normal models is proposed, which has the properties of simple computing and strong robustness. By comparing the simulation results, it is shown that the proposed algorithm can make up the drawback of the traditional Kalman filter algorithm when tracking the maneuvering targets.
出处
《海军航空工程学院学报》
2005年第5期527-529,共3页
Journal of Naval Aeronautical and Astronautical University
关键词
机动目标
自适应
跟踪算法
maneuvering targets
adaptation
tracking algorithms
