Importance sampling for NMF class of STAP detectors

L. Aitori, R. Srinivasan, M. Rangaswamy

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    Importance sampling (IS) techniques are applied to space-time adaptive processing (STAP) radar detection algorithms for performance characterization via fast estimation of false alarm probabilities (FAP’s). The work here builds on and extends the initial thrust in this area provided in a recent paper, [8]. The theory of the normalized matched filter (NMF) and normalized adaptive MF (NAMF) detectors is briefly discussed and a new variant, the envelope-law NAMF detector, is presented. New IS biasing techniques, using rotation of data vectors and 2-dimensional biasing, are proposed and used for fast simulation. The envelope (or E-NAMF) detector is also analyzed and its detection probability is compared with that of the NAMF detector for fluctuating and non-fluctuating targets in homogeneous and nonhomogeneous backgrounds.
    Original languageUndefined
    Title of host publicationProceedings of the 2006 CIE international conference on radar
    Number of pages4
    ISBN (Print)not assigned
    Publication statusPublished - 16 Oct 2006
    Event2006 CIE international conference on radar - Shanghai, China
    Duration: 16 Oct 200619 Oct 2006

    Publication series

    Numbersuppl 2


    Conference2006 CIE international conference on radar
    Other16-19 Oct 2006


    • IR-63870
    • METIS-237819
    • EWI-8801

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