• DocumentCode
    2500954
  • Title

    Wigner analysis in problem of ultra-wideband signal detection with noise presents

  • Author

    Chernogor, L.F. ; Lazorenko, O.V.

  • Author_Institution
    Karazin Kharkiv Nat. Univ., Kharkiv, Ukraine
  • fYear
    2012
  • fDate
    17-21 Sept. 2012
  • Firstpage
    288
  • Lastpage
    290
  • Abstract
    The Wigner transform well known as the square time-frequency transform from Cohen´s class for solving of problem of the ultra-wideband signal detection with presents of additive weakly correlated noise with non-Gaussian distribution was proposed. The general properties, advantages and disadvantages of the Wigner transform were discussed. Using proposed detection algorithm based on the Wigner analysis, for some simple models of ultra-wideband signals in time domain the problem of ultra- wideband signal detection with presents of noise with uniform distribution was solved. The results obtained and the algorithm peculiarities were discussed.
  • Keywords
    signal detection; time-frequency analysis; transforms; Wigner analysis; Wigner transform; additive weakly-correlated noise; nonGaussian distribution; square time-frequency transform; time domain; ultrawideband signal detection; ultrawideband signal model; Additives; Noise; Signal detection; Time domain analysis; Time frequency analysis; Transforms; Ultra wideband technology; Cohen´s class; Ultra-wideband signal; Wigner transform; noise presents; non-linear time-frequency representations; signal detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Ultrawideband and Ultrashort Impulse Signals (UWBUSIS), 2012 6th International Conference on
  • Conference_Location
    Sevastopol
  • Print_ISBN
    978-1-4673-1940-9
  • Type

    conf

  • DOI
    10.1109/UWBUSIS.2012.6379808
  • Filename
    6379808