• DocumentCode
    754815
  • Title

    Optimal adaptation methods and class of operation: keys to improving feedforward amplifier power efficiency

  • Author

    Larose, Colin L. ; Ghannouchi, Fadhel M.

  • Author_Institution
    Dept. de Genie Electrique, Ecole Polytechnique de Montreal, Canada
  • Volume
    54
  • Issue
    2
  • fYear
    2005
  • fDate
    3/1/2005 12:00:00 AM
  • Firstpage
    456
  • Lastpage
    467
  • Abstract
    This paper studies the influences of two new adaptation methods and the class of main amplifier operation on the achievable power efficiency of the feedforward amplifier under typical design constraints. These two influences are weak for a two-tone driving signal, but they interact powerfully for a real-life high-stress signal, leading to optimal designs involving Class AB or even Class B main amplifiers, depending on the required output linearity. Assuming a code-division multiple-access signal, typical MESFETs, and an output linearity commonly used in mobile systems design, the new adaptation methods allowed relative efficiency improvements of 21% and 36% using main amplifiers biased near Class B and at Class B, respectively.
  • Keywords
    Schottky gate field effect transistors; code division multiple access; feedforward; mobile radio; radiofrequency amplifiers; Class AB amplifier; Class B main amplifier; MESFET; code-division multiple-access signal; feedforward amplifier; mobile systems design; optimal adaptation method; real-life high-stress signal; two-tone driving signal; Broadband amplifiers; Delay lines; Design optimization; Linearity; Multiaccess communication; Operational amplifiers; Power amplifiers; Predistortion; Radiofrequency amplifiers; Signal design; Adaptive control; code-division multiple access (CDMA); linearization; microwave power amplifiers; power efficiency;
  • fLanguage
    English
  • Journal_Title
    Vehicular Technology, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9545
  • Type

    jour

  • DOI
    10.1109/TVT.2004.841553
  • Filename
    1412067