Collision avoidance relies on representative Cartesian uncertainty volumes in order to calculate probabilities of collision. Among the potential shortcomings of a covariance matrix representation of state errors, the most worrisome is the coordinate mismatch between the Cartesian framework in which these matrices are distributed and the curvilinear path that satellite orbits actually follow. The present study compares curvilinear-based and Cartesian covariance representations for ~50,000 conjunctions to determine the frequency in which significant deviations from Gaussianity are observed, then compares the 2-D Pc result from the Cartesian covariance to a Monte Carlo Pc conducted in element space to assess operational significance.


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen


    Exportieren, teilen und zitieren



    Titel :

    Multivariate Normality of Cartesian-Framed Covariances: Evaluation and Operational Significance


    Beteiligte:

    Kongress:

    AAS/AIAA Astrodynamics Specialist Conference ; 2019 ; Portland, ME, United States


    Erscheinungsdatum :

    11.08.2019


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch






    Multivariate normality

    Crutcher, Harold L. / Falls, Lee W. | TIBKAT | 1976


    Multivariate-normality goodness-of-fit tests

    Falls, L. W. / Crutcher, H. L. | NTRS | 1977


    Reconciling Covariances with Reliable Orbital Uncertainty

    Folcik, Z. | British Library Conference Proceedings | 2011