Butterly [1] presents a Bayesian approach as an alternative to the classical methods for solving the position-finding problem. Butterly assumes that bearing errors are independent and normally distributed with known variances. In the paper, the assumption of known variances is relaxed and it is shown that uncertainty about these variances can be incorporated into the model while also retaining the computational advantages of the Butterly formulation. It is also shown that the Bayes estimate and the classical maximum likelihood estimate will agree in certain cases.


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    Titel :

    Position Finding with Prior Knowledge of Covariance Parameters


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    01.03.1979


    Format / Umfang :

    1141767 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Position Finding with Empirical Prior Knowledge

    Butterly, Peter J. | IEEE | 1972


    Position Covariance Visualization

    Woodburn, James / Tanygin, Sergei | AIAA | 2002


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    Freier Zugriff

    AIAA-2002-4985 Position Covariance Visualization

    Woodburn, J. / Tanygin, S. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2002