• DocumentCode
    2161054
  • Title

    Blind phase recovery in QAM communication systems using characteristic function

  • Author

    Sadi, Ehsan Hassani ; Amindavar, Hamidreza

  • Author_Institution
    Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
  • fYear
    2011
  • fDate
    22-27 May 2011
  • Firstpage
    1769
  • Lastpage
    1772
  • Abstract
    In this paper, we present a novel non-data aided method for phase recovery in both square and cross quadrature amplitude modulation (QAM) communication systems, based on characteristic function. The proposed method is independent of noise distribution added to the rotated signal. After estimating the gain multiplied to the received signal and compensating its effect, we will estimate the phase offset. The key innovation lies in the use of characteristic function rather than the traditional higher order statistics. We use characteristic function and its estimate (Empirical Characteristic Function-ECF), in order to perform phase estimation. The analytical evaluation of the estimation is provided. Monte Carlo simulation provides feasibility of our new approach.
  • Keywords
    Monte Carlo methods; phase estimation; quadrature amplitude modulation; signal processing; Monte Carlo simulation; QAM communication system; blind phase recovery; cross quadrature amplitude modulation communication systems; noise added distribution; received signal; rotated signal; Communication systems; Equalizers; Higher order statistics; Quadrature amplitude modulation; Root mean square; Signal to noise ratio; Characteristic function; phase estimation; quadrature amplitude modulation; synchronization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on
  • Conference_Location
    Prague
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4577-0538-0
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2011.5946845
  • Filename
    5946845