Practical aspects of Kalman filtering applications are considered in this chapter, as follows:

    how performance of the Kalman filter can degrade due to computer roundoff errors and alternative implementation methods with better robustness against roundoff;

    how to determine computer memory, word length, and throughput requirements for implementing Kalman filters in computers;

    ways to implement real‐time monitoring and analysis of filter performance;

    the Schmidt–Kalman suboptimal filter, designed for reducing computer requirements;

    covariance analysis, which uses the Riccati equations for performance‐based predictive design of sensor systems; and

    Kalman filter architectures for GPS/INS integration.


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    Titel :

    Kalman Filter Engineering


    Beteiligte:


    Erscheinungsdatum :

    15.12.2000


    Format / Umfang :

    36 pages




    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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