In Over-The-Horizon Radar (OTHR), multiple ionospheric layers cause several tracks per target to be observed. This effect causes ambiguities in target identification and track coordinate registration. A pattern classification approach is proposed for associating tracks. Neural networks and statistical methods are applied to combine track affinities and associate pairs of tracks. The proposed approach provides a practical and efficient way of dealing with multiple track association when the number of targets is large and optimal. Bayesian hypothesis testing is not practical.


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    Title :

    Association of tracks from over the horizon radar


    Contributors:
    Bogner, R.E. (author) / Bouzerdoum, A. (author) / Pope, K.J. (author) / Zhu, J. (author)


    Publication date :

    1998-09-01


    Size :

    824103 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English