Two approaches to a nonlinear state estimation problem are presented. The particular problem addressed is that of tracking a maneuvering target in three-dimensional space using spherical observations (radar data). Both approaches rely on semi-Markov modeling of target maneuvers and result in effective algorithms that prevent the loss of track that often occurs when a target makes a sudden, radical change in its trajectory. Both techniques are compared using real and simulated radar measurements with emphasis on performance and computational burden.


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    Title :

    Maneuvering Target Tracking Using Adaptive State Estimation


    Contributors:

    Published in:

    Publication date :

    1977-05-01


    Size :

    1579701 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English