基于随机有限集的空间碎片群运动状态估计

doi:10.7527/S1000-6893.2017.321200

Abstract

Abstract:

Based on the single target state estimation,the conventional approach is not able to work well when faced with a large number of suddenly generated space debris objects,as those objects are closely-spaced as a group with small size.Thus,based on the Random Finite Set (RFS) theory,the space debris group is treated as the processing object and its states are estimated in this work.In order to address the issues of missed object density distribution and trajectory association,an improved measurement-oriented Cardinalized Probability Hypothesis Density (CPHD) filter is proposed.With a data processing used after filtering,this filter accomplishes the estimation of object density distribution,object number and conspicuous object state in a group.In simulations,the proposed filter significantly outperforms the conventional filter and CPHD filter.It can work in challenging environment,and meanwhile,the conventional filter and CPHD filter fail.

Key words: space debris, group object, state estimation, random finite set, improved CPHD filter

CLC Number:

V412

LU Zhejun, HU Weidong. State estimation of space debris group based on random finite set[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2017, 38(11): 321200-321200.

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State estimation of space debris group based on random finite set

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