• DocumentCode
    62245
  • Title

    Joint mitigation of nonlinearity and modulator imperfections in dual-band concurrent transmitter using neural networks

  • Author

    Rawat, Meenakshi ; Rawat, Karun ; Younes, M. ; Ghannouchi, F.

  • Author_Institution
    Dept. of Electr., iRadio Lab., Calgary, AB, Canada
  • Volume
    49
  • Issue
    4
  • fYear
    2013
  • fDate
    Feb. 14 2013
  • Firstpage
    253
  • Lastpage
    255
  • Abstract
    Reported, for the first time is a predistortion scheme for a concurrent dual-band transmitter with a dual-band concurrent Doherty power amplifier in the presence of modulator I/Q imbalance and DC offsets. Inverse PA modelling for predistortion is achieved using real valued time delayed neural networks. The model has been validated for a 10 W GaN based dual-band concurrent Doherty power amplifier for wideband code division multiple access signals at 1960 and 3500 MHz, respectively, and an adjacent channel power ratio improvement of 18 dB is reported.
  • Keywords
    III-V semiconductors; code division multiple access; gallium compounds; millimetre wave power amplifiers; neural nets; radio transmitters; DC offset; concurrent dual-band transmitter; dual-band concurrent Doherty power amplifier; dual-band concurrent transmitter; frequency 1960 MHz to 3500 MHz; inverse PA modelling; modulator I-Q imbalance; modulator imperfection; neural network; noise figure 18 dB; nonlinearity joint mitigation; power 10 W; wideband code division multiple access signal;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2012.3671
  • Filename
    6464670