Abstract This paper presents a novel on-board space collision analysis method for space situational awareness. The framework is developed under the following assumptions: 1) A satellite can be equipped with on-board sensors for space object recognition. 2) No a–priori knowledge of the space objects is provided. A space object size and relative state estimation method is firstly proposed, wherein optical cues acquired from onboard sensors are utilized to achieve the estimation. Then, the unscented transform approach is employed to calculate the probability density function (PDF) of collision probability based on the estimate information. Monte Carlo simulations and an experimental test demonstrate that the proposed approach can achieve high-precision on-board collision probability estimation with an error less than 3%.

    Highlights Optical-cues is efficiently utilized to estimate the object information. The GMM models are employed to form the analytical form of collision analysis. MC simulation and an experimental test verify the effectiveness of this approach.


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    Titel :

    Space collision probability computation based on on-board optical cues


    Beteiligte:
    Yu, Meng (Autor:in) / Li, Shuang (Autor:in) / Leng, Shu (Autor:in)

    Erschienen in:

    Acta Astronautica ; 155 ; 33-44


    Erscheinungsdatum :

    2018-06-27


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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