• DocumentCode
    1453578
  • Title

    Estimation of prescribed false alarm rate thresholds from local data using tolerance intervals

  • Author

    Real, E.C. ; Tufts, D.W.

  • Author_Institution
    Signal Processing Center of Technol., Lockheed Martin Co., Nashua, NH, USA
  • Volume
    6
  • Issue
    1
  • fYear
    1999
  • Firstpage
    8
  • Lastpage
    10
  • Abstract
    We present a method for estimating threshold values for signal detection and classification systems in which a prescribed value of false alarm probability is needed. The threshold values are determined directly from observed test statistic data without knowledge of the probability distribution of the data. Our method uses the concept of tolerance intervals from nonparametric statistics.
  • Keywords
    signal classification; signal detection; statistical analysis; tolerance analysis; adaptive CFAR thresholds; false alarm probability; local data; nonadaptive CFAR thresholds; nonparametric statistics; prescribed false alarm rate thresholds; signal classification; signal detection; statistical signal processing; test statistic data; threshold values estimation; tolerance intervals; Decision making; Maximum likelihood detection; Maximum likelihood estimation; Probability distribution; Signal detection; Signal processing; Statistical analysis; Statistical distributions; Testing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/97.736236
  • Filename
    736236