Tracking a maneuvering reentry vehicles (MaRV) by processing radar measurements has attracted much attention of researchers. Compared with the traditional extended Kalman filter, the recently developed filtering algorithm called unscented Kalman filter are significant with its easy to tune, better accuracy and same order computational complexity. For the nine-dimension system in this paper a reduced points UKF combined reduced sigma points unscented transform (UT) with classical Kalman filter is presented to lessen computation burden. Simulation results show its effectiveness.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Target tracking for maneuvering reentry vehicles with reduced sigma points unscented Kalman filter


    Contributors:


    Publication date :

    2006-01-01


    Size :

    2407685 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




    Tracking of Spiraling Reentry Vehicles with Varying Frequency Using the Unscented Kalman Filter

    Ohlmeyer, E. / Menon, P. / Kim, J. et al. | British Library Conference Proceedings | 2010