• DocumentCode
    1147206
  • Title

    Evaluating Radar Detection Probabilities by Steepest Descent Integration

  • Author

    Helstrom, Carl W. ; Ritcey, James A.

  • Author_Institution
    University of California, San Diego
  • Issue
    5
  • fYear
    1984
  • Firstpage
    624
  • Lastpage
    634
  • Abstract
    The probability of detection for radars employing noncoherent integration and a fixed threshold or cell-averaging constant false alarm rate (CA-CFAR) processor is computed by numerical contour integration in the complex plane. The technique is applied to both nonfluctuating and chi-squared fluctuating targets. A bound on the truncation error allows for a simple stopping rule for the numerical integration. The method has applicability to many problems in radar detection theory.
  • Keywords
    AWGN; Additive white noise; Detectors; Distributed computing; Finite wordlength effects; Military computing; Probability; Radar detection; Random variables; Statistics;
  • fLanguage
    English
  • Journal_Title
    Aerospace and Electronic Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9251
  • Type

    jour

  • DOI
    10.1109/TAES.1984.310530
  • Filename
    4103963