• DocumentCode
    2136133
  • Title

    Characteristic functions in radar and sonar

  • Author

    Gray, John E. ; Addison, Stephen R.

  • Author_Institution
    Dahlgren Div., Naval Surface Warfare Center, Dahlgren, VA, USA
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    31
  • Lastpage
    35
  • Abstract
    We often encounter problems that involve either nonlinear or multi-dimensional combinations of random variables. One would like to be able to determine the probability density function of these combinations. The individual components that contribute to the combination are assumed known, but the combination is not known. Computations to determine this combined PDF axe tedious and difficult to accomplish in most cases. We propose a simpler means to bypass many of these difficulties. By using Fourier analysis and application of the definition of the Dirac delta function, the proper form the combined PDF is obtained with considerable simplification. The motivation for this is engineering applications that occur frequently in radar applications that involve combinations of probability density functions.
  • Keywords
    Fourier analysis; integral equations; probability; radar signal processing; radar theory; random functions; sonar signal processing; Dirac delta function; Fourier analysis; PDF; change of variables; characteristic functions; multi-dimensional combinations; nonlinear combinations; probability density function; radar applications; random variables; sonar; Astronomy; Books; Density functional theory; Independent component analysis; Physics; Probability density function; Radar applications; Random variables; Sonar;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Theory, 2002. Proceedings of the Thirty-Fourth Southeastern Symposium on
  • ISSN
    0094-2898
  • Print_ISBN
    0-7803-7339-1
  • Type

    conf

  • DOI
    10.1109/SSST.2002.1026999
  • Filename
    1026999