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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    Title :

    A Framework for Scaling in Filtering and Linear Covariance Analysis


    Contributors:

    Conference:

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


    Publication date :

    2019-08-11


    Type of media :

    Conference paper


    Type of material :

    No indication


    Language :

    English




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