This paper is the second part of a two-part research effort to find the optimal detector and estimator that minimise the integrity risk in Receiver Autonomous Integrity Monitoring (RAIM). Part 1 shows that for realistic navigation requirements, the solution separation RAIM method can approach the optimal detection region when using a least-squares estimator. This paper constitutes Part 2. It presents new methods to design Non-Least-Squares (NLS) estimators, which, in exchange for a slight increase in nominal positioning error, can substantially lower the integrity risk. A first method is formulated as a multi-dimensional minimisation problem, which directly minimises integrity risk, but can only be solved using a time-consuming iterative process. Parity space representations are then exploited to develop a computationally-efficient, near-optimal NLS-estimator-design method. Performance analyses for an example multi-constellation Advanced RAIM (ARAIM) application show that this new method enables significant integrity risk reduction in real-time implementations where computational resources are limited.


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    Titel :

    Integrity Risk Minimisation in RAIM Part 2: Optimal Estimator Design



    Erschienen in:

    Erscheinungsdatum :

    2016




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Print


    Sprache :

    Englisch



    Klassifikation :

    BKL:    55.86 Schiffsverkehr, Schifffahrt / 53.84 Ortungstechnik, Radartechnik / 42.89 Zoologie: Sonstiges / 55.54 Flugführung / 42.89 / 53.84 / 55.20 / 55.86 / 55.20 Straßenfahrzeugtechnik / 55.44 Schiffsführung / 55.54 / 55.44
    Lokalklassifikation TIB:    275/5680/7035






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