• DocumentCode
    1790862
  • Title

    Rare-event simulation for radar threshold estimation in heavy-tailed sea clutter

  • Author

    Zuk, Josef ; Rosenberg, Luke

  • Author_Institution
    Defence Sci. & Technol. Organ., Edinburgh, SA, Australia
  • fYear
    2014
  • fDate
    June 29 2014-July 2 2014
  • Firstpage
    436
  • Lastpage
    439
  • Abstract
    Rare-event Monte Carlo (MC) simulation is useful for estimating the threshold level for radar systems where conventional methods do not work and crude MC is not feasible. In this paper, a conditional Monte-Carlo technique, well-adapted to subexponential clutter distributions, is successfully applied to high-resolution airborne maritime radar systems that employ a combination of range stretching and scan-to-scan feedback integration.
  • Keywords
    Monte Carlo methods; airborne radar; radar clutter; Monte-Carlo technique; heavy-tailed sea clutter; high-resolution airborne maritime radar systems; radar systems; radar threshold estimation; range stretching; rare-event Monte Carlo simulation; rare-event simulation; scan-to-scan feedback integration; subexponential clutter distributions; Clutter; Probability; Radar clutter; Steady-state; Technological innovation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing (SSP), 2014 IEEE Workshop on
  • Conference_Location
    Gold Coast, VIC
  • Type

    conf

  • DOI
    10.1109/SSP.2014.6884669
  • Filename
    6884669