MIT Lincoln Laboratory is investigating how to use a-priori information in an adaptive MTI radar under the DARPA-funded knowledge-aided sensor signal processing and expert reasoning (KASSPER) program. Our objective is to demonstrate an embedded processor and some algorithms capable of real-time space-time adaptive processing (STAP) enhanced by a-priori knowledge of terrain types, locations of clutter discretes and road layouts. The immediate goal is to realize a baseline system, which is a conventional STAP chain making no use of a-priori information. It is designed to allow the entire KASSPER community to insert new algorithm features that exploit a-priori knowledge. The paper describes both the hardware and the algorithms that are being coded to realize the baseline system. This baseline algorithm suite is intended to provide a reasonable starting point for adding a-priori knowledge in the form of new training schemes or new STAP algorithms to improve target detectability near the mainbeam clutter ridge.


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    Titel :

    The MIT Lincoln Laboratory KASSPER algorithm testbed and baseline algorithm suite


    Beteiligte:
    Kreithen, D.E. (Autor:in) / Pulsone, N.B. (Autor:in) / Rader, C.M. (Autor:in) / Schrader, G.E. (Autor:in)


    Erscheinungsdatum :

    2002


    Format / Umfang :

    5 Seiten, 5 Quellen




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Print


    Sprache :

    Englisch




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