The problem of solving the matrix Riccati differential equation in the design of Kalman filters for the target tracking problem is considered. An algebraic transformation method is used to reduce the order of the Riccati differential equation and to obtain explicit expressions for the filter gains (in terms of the interceptor /target separation range) which results in a substantial reduction of the computer burden involved in estimating the target states. The applicability of the transform technique is demonstrated for the receiver thermal noise and the target glint noise cases.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Kalman filter design for target tracking


    Contributors:

    Published in:

    Publication date :

    1980-07-01


    Size :

    1234625 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




    Maneuvering target tracking using extended Kalman filter

    Cortina, E. / Otero, D. / D'Attellis, C.E. | IEEE | 1991


    Unscented Kalman Filter and Gauss-Hermite Kalman Filter for Range-Bearing Target Tracking

    Barragán, Gabriel / Infante, Saba / Hernández, Aracelis | Springer Verlag | 2021



    Iterated Unscented Kalman Filter for Passive Target Tracking

    Zhan, Ronghui / Wan, Jianwei | IEEE | 2007