• DocumentCode
    866809
  • Title

    A novel phase-noise compensation scheme for communication receivers

  • Author

    Zhao, Liang ; Namgoong, Won

  • Author_Institution
    Dept. of Electr. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    54
  • Issue
    3
  • fYear
    2006
  • fDate
    3/1/2006 12:00:00 AM
  • Firstpage
    532
  • Lastpage
    542
  • Abstract
    A novel phase-noise (PHN) compensation method is proposed in this paper. The proposed approach uses the information provided by an additional signal path that is added with modest hardware overhead to better estimate the PHN. In this signal path, the oscillator output is self-downconverted to the baseband by mixing itself with a delayed and conjugated replica, so as to provide PHN information that is free from data modulation. A joint prediction and smoothing Wiener filter can then be employed to obtain the minimum mean-squared error estimate of the PHN. There are generally two types of PHN models commonly used in the literature: stationary PHN and Wiener PHN. Both types of PHN are considered in this paper. Adaptive schemes are also presented using the least-mean square algorithm and recursive least-square algorithm. Simulations of a 64-quadrature amplitude modulation receiver confirm the analysis results of the PHN estimation performance, and show that the proposed method can improve the receiver performance significantly over the conventional schemes.
  • Keywords
    Wiener filters; least mean squares methods; phase noise; quadrature amplitude modulation; receivers; 64-quadrature amplitude modulation receiver; communication receivers; error estimation; least mean square algorithm; minimum mean squared error; phase-noise compensation scheme; prediction Wiener filter; recursive least square algorithm; smoothing Wiener filter; Amplitude estimation; Amplitude modulation; Analytical models; Baseband; Delay; Hardware; Oscillators; Performance analysis; Smoothing methods; Wiener filter; Adaptive estimation; digital communication; least-mean square (LMS) methods; phase noise (PHN); phase synchronization;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2006.869788
  • Filename
    1605471