• DocumentCode
    252150
  • Title

    Digital post-distortion linearization of wideband wireless receiver nonlinearity

  • Author

    Umoh, Ifiok ; Ogunfunmi, Tokunbo

  • Author_Institution
    Santa Clara Univ., Santa Clara, CA, USA
  • fYear
    2014
  • fDate
    3-6 Aug. 2014
  • Firstpage
    431
  • Lastpage
    434
  • Abstract
    In this paper, we develop a new digital post-distortion technique for linearizing wideband wireless receiver nonlinearity primarily from the low noise amplifier (LNA) in Software Defined wireless (SDR) systems. This goal is achieved by combining an adaptive digital post-distorter in the transceiver in such a way as to compensate for interference resulting from the LNA´s. The proposed technique simultaneously maintains the good performance characteristics of inductively degenerated common source (CS) LNAs´ base SDR transceiver while improving linearity. We show an improvement in IIP3 by a factor greater than 7.8dB in the worst case and as high as 16.8dB. Since this technique is applied to the digital base-band, the number of components and therefore the size and cost of analog parts of the LNA is reduced.
  • Keywords
    distortion; linearisation techniques; low noise amplifiers; radio transceivers; radiofrequency interference; software radio; SDR transceiver; adaptive digital post-distorter; common source LNA degeneration; digital post-distortion linearization technique; linearity improvement; low noise amplifier; software defined wireless systems; wideband wireless receiver nonlinearity; Adaptation models; Equations; Linearity; Mathematical model; Receivers; Wideband; Wireless communication; Linearization; Nonlinear Systems; Post-distortion; Software Defined Radio (SDR); Wideband Wireless Receivers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems (MWSCAS), 2014 IEEE 57th International Midwest Symposium on
  • Conference_Location
    College Station, TX
  • ISSN
    1548-3746
  • Print_ISBN
    978-1-4799-4134-6
  • Type

    conf

  • DOI
    10.1109/MWSCAS.2014.6908444
  • Filename
    6908444