In this paper we present hierarchical resource management algorithms for adaptive airborne surveillance radars. By abstracting the physical layer sensor performance into a quality of service measure, the resource management problem is formulated as a constrained Markov decision process. A two-level (two-timescale) resource management algorithm is presented based on Lagrangian relaxation. A numerical example is given with scenarios involving different target densities.


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    Title :

    Hierarchical resource management in adaptive airborne surveillance radars


    Contributors:


    Publication date :

    2006-04-01


    Size :

    3124142 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English




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