摘要
针对机动的目标跟踪,提出扩展的卡尔曼滤波器/多假设跟踪方法(EKF/MHT),该算法具有结构和计算简单,鲁棒性好的特点,同时研究了和声学传感器相联系的目标数量、位移量和探测分辨率对跟踪性能的影响,并通过仿真,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/MHT方法在跟踪机动目标时的不足。
To track the maneuvering targets, an extended EKF/MTH tracking algorithm is proposed, which has the properties of simple computing and strong robustness. Also the influences of targets amount, displacement and detecting resolutions are discussed. By the simulation results, it is shown that the proposed algorithm can make up the drawback of the traditional KF /MHT algorithm when tracking the maneuvering targets.
出处
《微计算机信息》
北大核心
2007年第03S期186-188,共3页
Control & Automation
基金
安徽省优秀青年科技基金(04042069)
