Air-traffic controllers cannot identify air vehicles flying with a defective or nonexistent transponder. Primary radar does not help, because it cannot classify air vehicles from echoes. Passive radar offers a potential solution, the main difficulty lying in the analysis of the data. We present a novel, automatic object-target recognition system capable of classifying air vehicles observed with passive radar. We describe the testbed we deployed near Orly Airport, and the data it provided over 10 days. A preliminary experiment involving three broad classes, and using a grid of parallel classifiers, gives a promising correct recognition rate of 71%.


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    Title :

    Automatic Target Recognition for Passive Radar


    Contributors:


    Publication date :

    2014-01-01


    Size :

    1677047 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English





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