改进的强跟踪容积卡尔曼滤波的机动目标跟踪  

Maneuvering Target Tracking Algorithm Based on Improved Strong Tracking Cubature Kalman Filters

作　　者：张恒[1] 高敏[1] 徐超[1] 

机构地区：[1]军械工程学院导弹工程系,河北石家庄050003

出　　处：《现代防御技术》2015年第6期142-147,152,共7页Modern Defence Technology

摘　　要：机动目标的跟踪在实际中有着广泛的应用,其核心问题是机动建模和滤波算法。采用当前统计模型和容积卡尔曼滤波对机动目标进行跟踪。针对容积卡尔曼滤波在目标突发机动时跟踪性能较差的问题,借鉴强跟踪滤波思想,将渐消因子引入滤波过程,提出了一种改进的强跟踪容积卡尔曼滤波算法,该算法实现简单,估计精度高,鲁棒性强。仿真结果表明,该算法有效增强了系统对目标突发机动的自适应跟踪能力,并保持了对弱机动和非机动目标良好的跟踪性能,且运算速度较快。Tracking of maneuvering targets is widely used in practice, and its core issues are system model and filtering algorithm. The current statistical model and cubature Kalman filter are applied to maneuvering target tracking. For the degradation of adaptive tracking performance in sudden maneuvering of targets, an improved strong tracking cubature Kalman filter algorithm is proposed by introducing the fa- ding factor into filtering process learnt from strong tracking filter. The algorithm has a simple implementa- tion, high estimation accuracy and good robustness. The simulation results show that the adaptive track- ing performance for the sudden maneuvering of targets is improved effectively and a good tracking performance for weak motion and the nonmaneuverable is maintained by the proposed algorithm, and the arithmetic speed is considerable.

关 键 词：机动目标 当前统计模型 容积卡尔曼滤波 强跟踪滤波器 

分 类 号：TN953[电子电信—信号与信息处理] TP301.6[电子电信—信息与通信工程]