基于Jerk模型和EKF的多基地雷达机动目标跟踪算法  

Maneuvering Target Tracking Using Jerk Model and Extended Kalman Filter in Multi-static Radar System

作　　者：吴军[1] 夏海宝[1] 彭芳[1] 许蕴山[1] 

机构地区：[1]空军工程大学工程学院,西安710038

出　　处：《现代雷达》2011年第10期38-42,共5页Modern Radar

摘　　要：针对多基地雷达系统对高机动目标的跟踪精度问题,提出了基于Jerk模型和扩展卡尔曼滤波(EKF)的机动目标跟踪算法。通过建立系统的离散状态方程和非线性观测方程,推导状态向量和误差协方差矩阵的初始化计算公式,给出EKF滤波的流程。利用Monte Carlo仿真,分析和比较了在变加速目标轨迹下Jerk与当前统计模型的跟踪效果,表明该算法具有对高机动目标实现准确自适应跟踪的能力。Maneuvering target tracking algorithm based on Jerk model and EKF is brought forward for improving the tracking accuracy in multi-static systems. Disperse state equation and nonlinear observation equation is built, initialization formula of state vector and error covariance matrix is acquired, finally the flow of EKF algorithm is given. Through Monte Carlo simulation, tracking effection of Jerk and CS model is analysed and compared in condition of target accelerate changing, accordingly the accurate adaptive tracking to the high maneuvering target is realized by the algorithm.

关 键 词：机动目标跟踪 JERK模型 扩展卡尔曼滤波 多基地雷达系统 

分 类 号：TN953[电子电信—信号与信息处理]