• DocumentCode
    682700
  • Title

    An improved method for emitter identification based on nonlinear characteristics of power amplifiers

  • Author

    Jinming Wang ; Lei Kong ; Zhijun Xu ; Yu Guan

  • Author_Institution
    Inst. of Commun. Eng., PLA Univ. of Sci. & Technol., Nanjing, China
  • Volume
    03
  • fYear
    2013
  • fDate
    16-18 Dec. 2013
  • Firstpage
    1494
  • Lastpage
    1498
  • Abstract
    An improved method is proposed for emitter identification in this paper, which is based on nonlinearity character of the power amplifier. Assuming that the input signal is narrow band and low-power, it can bi got that the harmonic features from the analyzing of the signal. Besides, Harmonic features is only related to the Taylor series coefficients. This paper proposed an improved method based on linear regression combined with normal mapping according to the approximate linear characteristic of the amplifier feature. Finally, an contrastive experiment are performed with 10 TBR-121A emitters. The experimental results show that the improved method is better than the traditional method in the rate of correct identification. It shows that the improved method is effective.
  • Keywords
    power amplifiers; regression analysis; Harmonic features; Taylor series coefficients; amplifier feature; emitter identification; harmonic features; linear characteristic approximation; linear regression; nonlinear characteristics; nonlinearity character; normal mapping; power amplifiers; signal analysis; Equations; Harmonic analysis; Linear regression; Mathematical model; Power system harmonics; Taylor series; Vectors; emitter identification; harmonic relative amplitude; linear regression analysis; power amplifier;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image and Signal Processing (CISP), 2013 6th International Congress on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-2763-0
  • Type

    conf

  • DOI
    10.1109/CISP.2013.6743911
  • Filename
    6743911