The paper contains algorithms for solving the problem of nonlinear filtering. The nonlinear approximate filters presented are: the extended Kalman filter (EKF), the uncented Kalman filter (UKF) and unscented Particle Filter (UPF). The flow-charts for the listed algorithms are presented and a corresponding software complex based on these algorithms is developed. Using this complex a number of worked-out numerical simulations for both linear and nonlinear models are resulted.


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    Titel :

    EFFICIENCY ANALYSIS OF EXTENDED KALMAN FILTERING, UNSCENTED KALMAN FILTERING AND UNSCENTED PARTICLE FILTERING


    Beteiligte:


    Erscheinungsdatum :

    2016



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt




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