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  • 匿名
关注:1 2013-05-23 12:21

求翻译:The conventional EKF and IEKF algorithms do not take into account the linearization errors and lead towards inconsistent state estimates. The Unscented Kalman Filter (UKF) is based on the deterministic approach using samples to address this problem. It collects a set of sample points carefully to easily estimate the tr是什么意思?

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The conventional EKF and IEKF algorithms do not take into account the linearization errors and lead towards inconsistent state estimates. The Unscented Kalman Filter (UKF) is based on the deterministic approach using samples to address this problem. It collects a set of sample points carefully to easily estimate the tr
问题补充:

  • 匿名
2013-05-23 12:21:38
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  • 匿名
2013-05-23 12:23:18
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  • 匿名
2013-05-23 12:24:58
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  • 匿名
2013-05-23 12:26:38
传统的扩展卡尔曼滤波和 IEKF 算法不做考虑线性化误差和带领走向不一致的状态估计。无迹卡尔曼滤波 (UKF) 基于使用样本来解决这一问题的确定性方法。它收集一组样本点仔细地真正的均值和协方差的估计值。变化的 UKF 算法提出了 [9] 是命名为减少西格玛点筛选器 (SPF),但它不会在审议中的线性化误差。
  • 匿名
2013-05-23 12:28:18
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