• DocumentCode
    2293451
  • Title

    Particle Detection and it´s Radar Application

  • Author

    Sabahi, Mohamad Farzan ; Hashemi, Mahmood Modarres ; Sheikhi, Abbas

  • Author_Institution
    Dept. of Electr. Eng., Isfahan Univ. of Technol.
  • fYear
    2006
  • fDate
    16-19 Oct. 2006
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    In this paper we introduce a new detection algorithm based on Monte Carlo sampling method. The proposed method is numerical in nature. We use importance sampling to estimate unknown parameters and calculate likelihood ratio and call it particle detector (PD). This detector can be used in wide range of detection problems. We have also presented an adaptive radar detection algorithm based on our proposed particle detection scheme
  • Keywords
    adaptive radar; importance sampling; particle detectors; radar applications; radar detection; radar signal processing; signal sampling; Monte Carlo sampling method; adaptive radar detection algorithm; importance sampling; parameter estimation; particle detection scheme; radar application; Bayesian methods; Clutter; Detection algorithms; Maximum likelihood estimation; Monte Carlo methods; Parameter estimation; Particle measurements; Radar applications; Radar detection; Radiation detectors; Importance Sampling; Monte Carlo methods; radar detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar, 2006. CIE '06. International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    0-7803-9582-4
  • Electronic_ISBN
    0-7803-9583-2
  • Type

    conf

  • DOI
    10.1109/ICR.2006.343317
  • Filename
    4148423