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一种精确的前向散射雷达三维目标跟踪方法

Keywords: 前向散射雷达,三维目标跟踪,初始状态估计,扩展卡尔曼(EKF),滤波算法

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Abstract:

针对一般测量精度下初始状态估计误差大,导致滤波易发散的问题,提出了一种基于解析推导和Levenberg-Marquardt算法的初始状态估计方法,能够在目标参数测量精度不高的情况下获得比较精确的初始值;针对滤波过程计算量太大、收敛速度慢的问题,结合精确的初始状态估计值和扩展卡尔曼滤波(EKF)实现了前向散射雷达三维目标的精确跟踪.通过仿真和比较分析表明,EKF算法跟踪精度高,收敛速度快,且计算量小.

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