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