Scaling is used extensively for numerical optimization and trajectory optimization. Its use in the estimation community is almost nonexistent. This paper creates the framework for practical scaling in space navigation, in general, and linear covariance analysis, in particular.


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    Titel :

    A Framework for Scaling in Filtering and Linear Covariance Analysis


    Beteiligte:

    Kongress:

    AAS Astrodynamics Conference ; 2019 ; Portland, ME, United States


    Erscheinungsdatum :

    11.08.2019


    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Keine Angabe


    Sprache :

    Englisch




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