Abstract Beyond catalog maintenance, a sun-synchronous sensor can provide valuable information about GEO objects’ characteristics. Algorithms were designed for attitude anomaly detection of GEO satellites and spin axis determination for tumbling objects using space-based non-resolved optical data. The spin axis orientation of a tumbling GEO object can be estimated by analyzing its observed tumble rate variations with an orbiting sensor. Simulated space-based observations using a GEO satellite model, with variable spin rates and axial tilt angles, have suggested that the algorithms are effective at estimating a GEO satellite’s spin rates and orientation.


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    Titel :

    Algorithms for space-based anomaly detection of GEO objects


    Beteiligte:
    Xu, Rong (Autor:in) / Zhao, Fei (Autor:in)

    Erschienen in:

    Advances in Space Research ; 64 , 2 ; 451-464


    Erscheinungsdatum :

    2019-04-05


    Format / Umfang :

    14 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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