• DocumentCode
    1583622
  • Title

    Low-complexity two-stage carrier phase estimation for 16-QAM systems using QPSK partitioning and maximum likelihood detection

  • Author

    Gao, Yuliang ; Lau, Alan Pak Tao ; Lu, Chao ; Wu, Jian ; Li, Yan ; Xu, Kun ; Li, Wei ; Lin, Jintong

  • Author_Institution
    Dept. of Electr. Eng., Hong Kong Polytech. Univ., Kowloon, China
  • fYear
    2011
  • Firstpage
    1
  • Lastpage
    3
  • Abstract
    A feedforward carrier phase estimation algorithm using a modified QPSK partition approach followed by maximum-likelihood (ML) detection is proposed. Results demonstrate complexity reduction by more than a factor of 2 compared with other techniques.
  • Keywords
    maximum likelihood detection; phase estimation; quadrature amplitude modulation; quadrature phase shift keying; QAM systems; QPSK partitioning; feedforward carrier phase estimation; maximum likelihood detection; modified QPSK partition; Complexity theory; Maximum likelihood estimation; Optical noise; Partitioning algorithms; Phase estimation; Phase shift keying; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Optical Fiber Communication Conference and Exposition (OFC/NFOEC), 2011 and the National Fiber Optic Engineers Conference
  • Conference_Location
    Los Angeles, CA
  • ISSN
    pending
  • Print_ISBN
    978-1-4577-0213-6
  • Type

    conf

  • Filename
    5875287
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1583622