In this paper, neural networks are used to decrease the Additional Secondary Phase Factors (ASF) error of Loran-C to improve the navigation accuracy. Through the training, the relationship between ASF corrections and seasons can be obtained, which is useful to compensate for the measured time-difference(TD) of Loran-C wave. The result proves that this method is effective and provides a new way for ASF correction.


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    Titel :

    ASF seasonal correction of Loran-C based on artificial neural network


    Beteiligte:
    Meng, Bin (Autor:in) / Xi, Xiao-li (Autor:in) / Li, Jie (Autor:in)


    Erscheinungsdatum :

    2009-07-01


    Format / Umfang :

    406433 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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