该文采用转换坐标卡尔曼滤波算法(CMKF)进行雷达目标跟踪,先将极坐标系下的测量值经坐标变换转换到直角坐标系下,再用统计的方法求出转换测量误差的均值和方差,去偏后利用...
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...第3章非线性非高斯滤波3.1引言3.2近似高斯化的卡尔曼滤波3.2.1扩展卡尔曼滤波( EKF)3.2.2转换观测卡尔曼滤波(CMKF)3.2.3Unscented卡尔曼滤波(UKF)3.3近似高斯化滤波方?
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unbiased CMKF 无偏转换测量Kalman滤波
Extended Kalman Filter (EKF) and converted measurement Kalman Filter (CMKF) have been widely used in radar target tracking.
在雷达目标跟踪中,扩展卡尔曼滤波(ekf)和转换坐标卡尔曼滤波(CMKF)得到了广泛的应用。
The extended Kalman filter(EKF) and converted measurement Kalman filter(CMKF) have been widely used in radar target tracking.
在非线性量测的情况下,EKF和CMKF得到了广泛的应用。
However, it has been found that the performance of CMKF degrades considerably when cross-range measurement errors of the target position are large.
然而,当目标位置的互距离测量误差比较大时,CMKF的性能将急剧下降。
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