雷达群组网中几种目标跟踪滤波器的比较  

Comparison of Several Target Tracking Filters in Netted Radar

作　　者：施岩龙[1] 王磊[1] 郝欣[1] 

机构地区：[1]南京电子技术研究所,南京210039

出　　处：《现代雷达》2010年第3期39-43,47,共6页Modern Radar

摘　　要：在雷达群组网目标跟踪中,目标量测在雷达各自的坐标系下,而目标跟踪却在公共坐标系下,针对这种混合坐标系下异地雷达目标跟踪问题,通常解决这类跟踪问题的滤波算法有CMKF法和EKF法。文中从测量误差模型出发,给出了适用于群组网目标跟踪算法的推导过程,并且通过仿真实验和分析,比较了几种算法的优缺点并给出了结论。Tracking target using multiple radars in netted radars should handle the conflict that target position measurements are provided in radar own coordinate systems,but target motion is usually best modeled in common cartesian coordinates.To solve this problem,two methods are proposed.One is tracking with converting measurements based kalman filter（CMKF） and the other is tracking with extended Kalman filter（EKF） by linearizing measurement equations.Three filters applied to tracking targets in netted radars are developed and presented.Simulation results show the comparison of these filters.Some conclusions are drawn in the end.

关 键 词：雷达群组网 测量转换滤波 扩展卡尔曼滤波 

分 类 号：TN953[电子电信—信号与信息处理]