• DocumentCode
    148022
  • Title

    A semi-physical power amplifier behavioral model capable of predicting gain expansion effects

  • Author

    Glock, S. ; Rascher, Jochen ; Sogl, B. ; Ussmueller, T. ; Mueller, J.-E. ; Fischer, Georg ; Weigel, Robert

  • Author_Institution
    Friedrich-Alexander-Univ. of Erlangen-Nuremberg, Erlangen, Germany
  • fYear
    2014
  • fDate
    19-23 Jan. 2014
  • Firstpage
    82
  • Lastpage
    84
  • Abstract
    A novel semi-physical power amplifier (PA) behavioral model (BM) that describes the input-output characteristic of PAs exhibiting gain expansion (GE) is introduced. The accurate prediction of GE is of particular importance because GE typically improves the power added efficiency (PAE) at high input powers. Though, GE impacts the spectral regrowth. Therefore, BMs that are capable of predicting GE, like the one introduced in this work, are highly desirable. In a case study, the proposed model is employed to predict the AM-AM distortions of a GaAs class AB PA designed for LTE applications. Excellent agreement between measurement and simulation results is obtained. The computational efficient model allows system-level simulations of advanced transmitter systems in order to optimize their modes of operation.
  • Keywords
    III-V semiconductors; Long Term Evolution; amplitude modulation; gallium arsenide; power amplifiers; AM-AM distortions; GaAs class AB PA; LTE applications; PAE; advanced transmitter systems; computational efficient model; gain expansion effects; input-output characteristic; power added efficiency; semi-physical power amplifier behavioral model; spectral regrowth; system-level simulations; Computational modeling; Current measurement; Distortion measurement; Gain; Measurement uncertainty; Nonlinear distortion; Predictive models;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Power Amplifiers for Wireless and Radio Applications (PAWR), 2014 IEEE Topical Conference on
  • Conference_Location
    Newport Beach, CA
  • Print_ISBN
    978-1-4799-2298-7
  • Type

    conf

  • DOI
    10.1109/PAWR.2014.6825726
  • Filename
    6825726