• DocumentCode
    10159
  • Title

    One-step model extraction method for direct learning digital predistortion

  • Author

    Guang Yang ; Haoyu Wang ; Lingli Li ; Falin Liu

  • Author_Institution
    Dept. of Electron. Eng. & Inf. Sci., Univ. of Sci. & Technol. of China, Hefei, China
  • Volume
    50
  • Issue
    16
  • fYear
    2014
  • fDate
    July 31 2014
  • Firstpage
    1148
  • Lastpage
    1150
  • Abstract
    A one-step model extraction method is proposed for direct learning (DL) digital predistortion (DPD) system. The expected predistortion signal of the training sequence is first derived by iterative injection of the baseband distortion components, which enables one-step model extraction of the DPD model by least squares estimation afterwards. Compared with the conventional model extraction method for DL DPD, the proposed method yields comparable linearisation performance but has much lower computational complexity.
  • Keywords
    learning (artificial intelligence); signal processing; baseband distortion component; direct learning digital predistortion; one-step model extraction method; predistortion signal; training sequence;
  • fLanguage
    English
  • Journal_Title
    Electronics Letters
  • Publisher
    iet
  • ISSN
    0013-5194
  • Type

    jour

  • DOI
    10.1049/el.2014.1235
  • Filename
    6870606
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=10159