Fast estimation of false alarm probabilities of STAP detectors - the AMF

R. Srinivasan, Muralidhar Rangaswamy

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    3 Citations (Scopus)
    303 Downloads (Pure)


    This paper describes an attempt to harness the power of adaptive importance sampling techniques for estimating false alarm probabilities of detectors that use space-time adaptive processing. Fast simulation using these techniques have been notably successful in the study of conventional constant false alarm rate radar detectors, and in several other applications. The principal task here is to examine the viability of using importance sampling methods for STAP detection. Though a modest beginning, the adaptive matched filter detection algorithm is analysed successfully using fast simulation. Of the two biasing methods considered, one is implemented and shown to yield excellent results. The important problem of detector threshold determination is also addressed, with matching outcome. The work reported here serves to pave the way to development of more advanced estimation techniques that can facilitate design of powerful and robust detection algorithms designed to counter hostile and heterogeneous clutter environments.
    Original languageUndefined
    Title of host publicationProceedings of the IEEE International Radar Conference
    Place of PublicationUSA
    Number of pages6
    ISBN (Print)0-7803-8881-X
    Publication statusPublished - 12 May 2005
    EventIEEE International Radar Conference - Arlington, USA
    Duration: 9 May 200512 May 2005

    Publication series



    ConferenceIEEE International Radar Conference
    Other09-12 May 2005


    • METIS-226453
    • EWI-15950
    • IR-53541

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