1) Second-order Debiased Converted Measurement Kalman Filter(SCMKF)
二阶去偏转换测量卡尔曼滤波(SCMKF)
2) converted measurement Kalman filter with debiasing
去偏转换测量卡尔曼滤波
1.
In this paper the interacting multiple models algorithm and the converted measurement Kalman filter with debiasing are combined to realize the maneuvering target tracking with the non linear measuring equations.
针对非线性测量下的机动目标跟踪问题 ,本文基于交互多模型算法 ( IMM) ,采用去偏转换测量卡尔曼滤波 ( CMKF- D)的方法 ,把在极坐标系下得到的测量值转换到直角坐标系中 ,用统计的方法求出转换测量值的误差均值和方差 ,将转换测量值去偏后再进行卡尔曼滤波。
2.
Based on the converted measurement Kalman filter with debiasing algorithm, the error mean and the error covariance are computed with statistical method after the polar measurements are transformed to Cartesian.
针对极坐标观测条件下的目标跟踪 ,本文基于去偏转换测量卡尔曼滤波算法 (CMKF D) ,提出了一种建立跟踪初始估计的方法 :目标初始状态由前两点观测值估计 ,初始估计误差协方差由状态方程和CMKF D中观测误差协方差计算得到。
3.
Based on the algorithm of the Converted Measurement Kalman Filter with Debiasing (CMKF-D), the error mean and error coviarance can be computed with statistical method after the polar measurements are transformed to Cartessian.
针对非线性观测的目标跟踪问题 ,本文在极坐标观测方程条件下 ,基于去偏转换测量卡尔曼滤波算法 (CMKF D) ,计算观测值转换到直角坐标系后的观测误差均值和方差。
3) CMKF-D
去偏一致转换量测卡尔曼滤波
1.
The three-dimensional CMKF-D with only position measurements is extended to solve the radar target tracking problem with Doppler measurements, where the errors between range and Doppler measurements are correlated.
将仅仅考虑位置量测的三维去偏一致转换量测卡尔曼滤波算法进行推广,以解决包含多普勒量测且斜距和多普勒的量测误差相关的雷达目标跟踪问题。
2.
The two-dimensional CMKF-D with only position measurements is extended to solve the radar target tracking problem with Doppler measurements, where the errors between range and Doppler measurements are correlated.
将仅仅考虑位置量测的二维去偏一致转换量测卡尔曼滤波算法进行推广,以解决包含多普勒量测且斜距误差和多普勒误差相关的雷达目标跟踪问题。
4) second-order converted measurement Kalman filter
二阶转换测量卡尔曼滤波
5) Converted Measurement Kalman Filter(CMKF)
转换测量卡尔曼滤波(CMKF)
6) converted measurement Kalman filtering algorithm
转换测量卡尔曼滤波
1.
Application of converted measurement Kalman filtering algorithm for maneuvering target tracking;
转换测量卡尔曼滤波在机动目标跟踪中的应用
补充资料：卡尔曼滤波
见波形估计。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条