Failure detection and redundancy management is discussed for avionics applications of integrated navigation involving coordinated use of multiple simultaneous sensor subsystems. A brief high-level survey is provided to assess the status of those techniques and methodologies advertised as already available for handling the challenging real-time failure detection, redundancy management, and Kalman filtering aspects of these systems with differing availabilities, differing reliabilities, accuracies and information content/sampling rates. Following the status review, a failure detection/redundancy management approach is developed based on voter/monitoring at both the raw-data and the filtered-data levels, as well as using additional inputs from hardware built-in-testing and from specialized tests for subsequent failure isolation in the case of ambiguous indications. The technique developed involved use of Gaussian confidence regions to reasonably account for the inherent differences in accuracy between the various sensor subsystems. A technique is provided for quantitatively evaluating both the probability of detecting failed component subsystems and the probability of false alarm to be incurred, which is then to be traded off as the basis for rational selection of the thresholds used in the automated decision process.


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    Title :

    Decentralized filtering and redundancy management for multisensor navigation


    Additional title:

    Dezentralisierte Filterung und redundante Auslegung in der Multisensor-Navigation


    Contributors:
    Kerr, T. (author)


    Publication date :

    1987


    Size :

    37 Seiten, 242 Quellen



    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English