Abstract The TRIAD algorithm is shown to be derivable as a maximum-likelihood estimator. In particular, using the QUEST measurement model, the TRIAD attitude error covariance matrix can be derived as the inverse of the Fisher information matrix. The treatment here gives a microscopic analysis of the algorithm and its connection to the QUEST algorithm. It also sheds valuable light on the origin of discrete degeneracies in deterministic attitude estimation.


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    Titel :

    The TRIAD algorithm as maximum likelihood estimation


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    01.03.2006


    Format / Umfang :

    11 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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