• DocumentCode
    1696164
  • Title

    Identification for the GaN amplifier in OFDM communication system

  • Author

    Yan Wang ; Li, Ying ; Wang, Jiakai ; Ding, Yuanming

  • Author_Institution
    Liaoning Key Lab. of Commun. Networks & Inf. Process., Dalian Univ., Dalian, China
  • fYear
    2010
  • Firstpage
    5742
  • Lastpage
    5745
  • Abstract
    An adaptive identification method is proposed to estimate the characteristics of GaN power amplifiers (GaNPA) in orthogonal frequency division multiplexing (OFDM) communication systems. The memory polynomial model (MPM) is adopted to describe the input-output relationship of unknown GaNPA in base-band and the RLS algorithm is used to estimate the MPM parameters of GaNPA in on-line manner. The MPM with odd-even orders is considered in choosing models. Furthermore, the orders and memory length of MPM are decided by the final prediction error (FPE). Finally, the stable and validate GaNPA model is achieved through comprehensively surveying phase and gain characteristics, and convergence of parameter estimation by numerical simulation.
  • Keywords
    III-V semiconductors; frequency division multiplexing; parameter estimation; polynomials; power amplifiers; GaN amplifier; GaN power amplifiers; OFDM communication system; RLS algorithm; adaptive identification method; final prediction error; input-output relationship; memory polynomial model; numerical simulation; orthogonal frequency division multiplexing; parameter estimation; Adaptation model; Educational institutions; Gallium nitride; Indexes; Information processing; OFDM; Polynomials; GaN power amplifier; Identification; OFDM; polynomial model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2010 8th World Congress on
  • Conference_Location
    Jinan
  • Print_ISBN
    978-1-4244-6712-9
  • Type

    conf

  • DOI
    10.1109/WCICA.2010.5554774
  • Filename
    5554774