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Relation between Irregular Sampling and Estimated Covariance for Closed-Loop Tracking Method

机译：不规则采样与闭环跟踪方法估计协方差的关系

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Regular sampling methods have a widely use in the target trajectory tracking fields and the tracking results are accurate but not fast enough sometimes especially with the long-data measurement. Irregular sampling methods for target tracking can trace the target with less time cost but the result may not very accurate due to the reduced information. This paper aims to find a balance between the computing speed and estimation performance. Based on an irregular sampling closed-loop tracking method, a sample with 2991 points simulated for 2D tracking. We conclude that our method can get a good estimation performance with high computing speed when the Irregular Sampling Rate is 66.1%.

机译：常规采样方法在目标轨迹跟踪字段中广泛使用，跟踪结果是准确的，但有时尤其是长数据测量的足够快。目标跟踪的不规则采样方法可以以较少的时间成本跟踪目标，但由于减少的信息，结果可能不是非常准确的。本文旨在在计算速度和估计性能之间找到平衡。基于不规则采样闭环跟踪方法，模拟2D跟踪模拟2991点的样品。我们得出结论，当不规则采样率为66.1％时，我们的方法可以通过高计算速度获得良好的估计性能。

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《ICA3PP 2014》|2014年||共8页
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作者
Bei-bei Miao; Xue-bo Jin;
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中图分类 TP302.1-532;
关键词
closed-loop tracking; irregular sampling rate; Kalman filter; estimation performance; estimation covariance;

机译：闭环跟踪;不规则采样率;卡尔曼滤波器;估计性能;估计协方差;
入库时间 2022-08-20 22:42:23

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Relation between Irregular Sampling and Estimated Covariance for Closed-Loop Tracking Method

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