• DocumentCode
    53097
  • Title

    Envelope Memory Polynomial Reformulation for Hardware Optimization of Analog-RF Predistortion

  • Author

    Jingjing Xia ; Islam, Anik ; Hai Huang ; Boumaiza, Slim

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
  • Volume
    25
  • Issue
    6
  • fYear
    2015
  • fDate
    Jun-15
  • Firstpage
    415
  • Lastpage
    417
  • Abstract
    This letter addresses the very critical challenge facing the successful deployment of analog-RF predistortion (ARF-PD) and its hardware implementation complexity. A new envelope memory polynomial (EMP) expression is proposed to alleviate the dynamic range requirements for the analog multipliers and digital-to-analog converters. A two-step algorithm is devised to determine the coefficients of the proposed reformulated EMP within a specified hardware limitation. As proof-of-concept validation, a 20 W Doherty power amplifier driven by 20 MHz LTE signals was linearized using the conventional and newly proposed EMP expressions. An adjacent channel leakage ratio (ACLR) of -50.5 dBc was achieved with a dynamic range of about 50 dB for the proposed reformulated EMP and 155 dB for the conventional formulation.
  • Keywords
    analogue multipliers; digital-analogue conversion; polynomials; power amplifiers; ACLR; ARF-PD; EMP expression; LTE signal; adjacent channel leakage ratio; analog multiplier; analog-RF predistortion; digital-to-analog converter; envelope memory polynomial reformulation; frequency 20 MHz; gain 155 dB; hardware implementation complexity; hardware optimization; power 20 W; two-step algorithm; Complexity theory; Dynamic range; Hardware; Heuristic algorithms; Polynomials; Predistortion; Wireless communication; Analog-RF predistortion; digital predistortion;
  • fLanguage
    English
  • Journal_Title
    Microwave and Wireless Components Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1531-1309
  • Type

    jour

  • DOI
    10.1109/LMWC.2015.2421317
  • Filename
    7101308