This paper identifies a bound for the worst‐case (largest) missed‐detection and false‐alarm probabilities for a chi‐square monitor in which the input signal vector cannot be perfectly decorrelated. A new method for bounding monitor missed‐detection performance is introduced that leverages the aspect ratio (aka, condition number) for the covariance matrix of the imperfectly decorrelated signal. An application to signal deformation monitoring for the global positioning system indicates that the new bound is both tight and relatively inexpensive to compute. Copyright © 2017 Institute of Navigation


    Zugriff

    Zugriff über TIB

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Robust Chi‐square Monitor Performance with Noise Covariance of Unknown Aspect Ratio


    Beteiligte:
    Rife, Jason H (Autor:in)

    Erschienen in:

    Navigation ; 64 , 3


    Erscheinungsdatum :

    2017




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    55.54 Flugführung / 55.86 Schiffsverkehr, Schifffahrt / 53.84 Ortungstechnik, Radartechnik
    Lokalklassifikation TIB:    770/5680/7035



    Variational Nonlinear Kalman Filtering With Unknown Process Noise Covariance

    Lan, Hua / Hu, Jinjie / Wang, Zengfu et al. | IEEE | 2023



    Method for estimating state of time-varying unknown noise covariance suspension system

    CHEN ZHIYONG / LI QIANGQIANG / XIAO JINCHI et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Efficient and robust model fitting with unknown noise scale

    Heinrich, S. B. | British Library Online Contents | 2013


    Noise measurements of high aspect ratio distributed exhaust systems

    Bridges, James E. / Wernet, Mark P. | AIAA | 2015