• DocumentCode
    167658
  • Title

    Two typical gaussianizing filters and their application in active signal detection

  • Author

    Wang Pingbo ; Liu Feng ; Hu Jinhua ; Wang Vu

  • Author_Institution
    Electron. Eng. Coll., Naval Univ. of Eng., Wuhan, China
  • fYear
    2014
  • fDate
    8-9 May 2014
  • Firstpage
    660
  • Lastpage
    663
  • Abstract
    For test definite signal in non-Gaussian interference background, the matched filter or the correlation test is no more optimal. The gaussianizing filter can weaken the bigger and strengthen the smaller samples in order to enhance the gaussianity of observed data, and to improve performance of subsequent matched filter or correlation test. Firstly, a widely applied non-Gaussian model, viz. Gaussian mixture, is described. Secondly, two typical gaussianizing filters, named U-filter and G-filter respectively, are studied. Thirdly, the matched filter with gaussianizing filter preposed is proposed and its detection performance is discussed. Finally, a numerical instance is illustrated.
  • Keywords
    Gaussian processes; correlation methods; filtering theory; matched filters; signal detection; G-filter; Gaussian mixture; Gaussianizing filters; U-filter; active signal detection; correlation test; matched filter; nonGaussian interference background; numerical instance; test definite signal; Detectors; Signal to noise ratio; Gaussian mixture; Gaussianizing filter; Matched filter; Non-Gaussian detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computer and Applications, 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/IWECA.2014.6845706
  • Filename
    6845706