Statistical estimation of trajectories of maneuverable lifting re-entry vehicles is studied by minimum-variance estimation technique; problems associated with applying linear filter theory to re-entry problem and means of circumventing these; numerical results are presented showing characteristics of re-entry filtering; mathematical model includes effects of earth oblateness and rotation on three-dimensional particle motion of vehicle; data given demonstrate effects of using single reference trajectory, advantages and disadvantages of updating nominal reference trajectory, and timewise convergence of estimated trajectory during single-pass processing.


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Re-entry filtering, prediction, and smoothing


    Additional title:

    J Spacecraft Rockets


    Contributors:

    Published in:

    Publication date :

    1966


    Size :

    7 pages


    Type of media :

    Article (Journal)


    Type of material :

    Print


    Language :

    English


    Keywords :




    Filtering, Prediction and Smoothing with Point-Mass Approach

    Kralovec, J. / Simandl, M. / International Federation of Automatic Control | British Library Conference Proceedings | 2004


    Aeroengine Prognostics via Local Linear Smoothing, Filtering and Prediction

    Ariyur, K. B. / Jelinek, J. / Society of Automotive Engineers | British Library Conference Proceedings | 2004


    Aeroengine Prognostics via Local Linear Smoothing, Filtering and Prediction

    Jelinek, Jan / Ariyur, Kartik B. | SAE Technical Papers | 2004