The curve fitting process is the key process of Allan variance algorithm which is an effective method for laser gyroscope random error analysis. The traditional piecewise regression method leads to the fitting curve shift up because the cross-impact among the five kinds of random errors in Allan variance hasn't been taken into consideration especially in the case of long correlation time, which will leads to the random error characteristic of Laser Gyroscope can't been evaluated accurately. This paper proposes an Allan variance segmented circular fitting method, which improves the accuracy of curve fitting and especially reduces the fitting error in long correlation time. The proposed method is applied to 7-hour experimental static data analysis of laser gyroscopes, and the random error coefficients estimated with modified Allan variance algorithm can converge with better stability.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Allan variance segmented circular fitting method for laser gyroscopes random error analysis


    Beteiligte:
    Shen, Xiaorong (Autor:in) / Meng, Suxia (Autor:in)


    Erscheinungsdatum :

    01.08.2014


    Format / Umfang :

    665017 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Error modeling and analysis for random drift of MEMS gyroscopes

    Xinlong, W. / Na, L. | British Library Online Contents | 2012


    Laser Gyroscopes

    A. D. Bogdanov | NTIS | 1974




    Allan Variance in Earth Rotation Time Series Analysis

    Gambis, D. / International Council of Scientific Unions | British Library Conference Proceedings | 2002