• DocumentCode
    2473885
  • Title

    Efficient determination of thresholds via importance sampling for Monte Carlo evaluation of radar performance in non-Gaussian clutter

  • Author

    Stadelman, Dennis L. ; Weiner, Donald D. ; Keckler, Andrew D.

  • Author_Institution
    Syracuse Res. Corp., North Syracuse, NY, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    272
  • Lastpage
    277
  • Abstract
    An efficient importance sampling simulation method is presented for estimating the thresholds to achieve very low probabilities of false alarm for radar receivers in clutter modeled as a non-Gaussian, spherically invariant random vector. Thresholds at false alarm probabilities of 10-6 and lower are estimated with only 10,000 trials for both known and unknown clutter covariance matrix cases.
  • Keywords
    covariance matrices; importance sampling; probability; radar clutter; radar detection; radar receivers; radar theory; Monte Carlo evaluation; covariance matrix; false alarm probability; importance sampling; nonGaussian clutter; radar clutter; radar receivers; spherically invariant random vector; target detection; threshold determination; Covariance matrix; Detectors; Eigenvalues and eigenfunctions; Matched filters; Monte Carlo methods; Radar clutter; Radar detection; Statistical analysis; Testing; Weibull distribution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2002. Proceedings of the IEEE
  • Print_ISBN
    0-7803-7357-X
  • Type

    conf

  • DOI
    10.1109/NRC.2002.999731
  • Filename
    999731
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2473885