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所属单位：航天学院

发表刊物：AEROSPACE SCIENCE AND TECHNOLOGY

关键字：Non-cooperative objects Capture window Object tracking Passive-image

摘要：This paper proposes a novel capture window estimation framework for non-cooperative space object capture mission. The proposed approach is developed by taking into account the following facts: 1) only one monocular camera onboard the capturer satellite is available; 2) the a priori knowledge of resident space objects (RSOs) is strictly limited; 3) the capture window estimation framework is independent from the capture modes. The relative state between the observed space object and capturer is formulated in a probabilistic manner through solving the admissible region from passive-images. Then, the probability and probability rate of a target entering the capture zone are efficiently characterized, leading to a complete RSO capture window estimation architecture. Finally, the entire algorithm is validated by a Monte Carlo simulation and an experimental trial, results from which demonstrate the effectiveness of the proposed approach in terms of estimation accuracy and reliability. (C) 2018 Elsevier Masson SAS. All rights reserved.

ISSN号：1270-9638

是否译文：否

发表时间：2019-01-01

合写作者：李爽,Leng, Shu

通讯作者：余萌