AbstractStar Identification (Star-ID) is a complex problem, mainly because some of the observations are not generated by actual stars, but by reflecting debris, other satellites, visible planets, or by electronic noise. For this reason, the capability to discriminate stars from non-stars is an important aspect of Star-ID robustness. Usually, the Star-ID task is performed by first attempting identification on a small group of observed stars (a kernel) and, in case of failure, replacing that kernel with another, until a kernel made only of actual stars is found. This work performs a detailed analysis of kernel generator algorithms, suitable for on-board implementation in terms of speed and robustness, for kernels of three (triad) and four (quad) stars. Three new kernel generator algorithms and, in addition to the existing expected time to discovery, three new metrics for robustness evaluation are proposed. The proposed algorithms are fast, robust to find good kernels, and do not require pre-stored data.

    HighlightsThree new kernel generation algorithms to increase Star-ID robustness are proposed.These fast algorithms are designed for low-power small-memory embedded systems.Three new metrics are introduced to quantify robustness.The algorithms are extensively studied in terms of speed and robustness.Comparisons with other algorithms in the literature are provided.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Fast and robust kernel generators for star trackers


    Beteiligte:

    Erschienen in:

    Acta Astronautica ; 134 ; 291-302


    Erscheinungsdatum :

    2017-02-17


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Fast and Robust Kernel Generators for Star Trackers

    Arnas, David | Online Contents | 2017


    Fast and robust kernel generators for star trackers

    Arnas, David | Online Contents | 2017


    Star Trackers

    Liebe | Online Contents | 1995



    Star Trackers and systems design

    Quasius, Glen / McCanless, Floyd | TIBKAT | 1966