• DocumentCode
    2170871
  • Title

    A Novel MAP Estimation Algorithm for Multiple Frequency Offsets in Distributed MIMO System

  • Author

    Wang, Qiang ; Lei, Xia ; Du, Jian ; Tian, Yuan ; Xiao, Yue ; Li, Shao-Qian

  • Author_Institution
    Nat. Commun. Anti-interference Technol. Key Lab., UESTC, Chengdu, China
  • fYear
    2009
  • fDate
    24-26 Sept. 2009
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    This paper addresses maximum a posteriori (MAP) estimation algorithm for multiple frequency offsets in distributed multiple inputs and multiple outputs (MIMO) system in the presence of prior information about frequency offsets. In this paper, the prior information is considered and the Cramer-Rao bound (CRB) for the problem at hand is derived. Additionally, taking advantage of prior information, the algorithm of maximum a posteriori is investigated. First, the variance of prior information can be estimated according to the range of frequency offsets. Then the MAP estimation will be used to estimate the frequency offsets. Compared with the maximum-likelihood estimation, simulation results illustrate the performance of MAP estimator achieve the CRB and the proposed algorithm can improve the efficiency of synchronization obviously, especially in low signal to noise ratio (SNR) environment.
  • Keywords
    MIMO communication; maximum likelihood estimation; Cramer-Rao bound; MAP estimation algorithm; distributed MIMO system; distributed multiple inputs multiple outputs system; low signal-to-noise ratio; maximum a posteriori estimation algorithm; maximum-likelihood estimation; multiple frequency offsets; Communications technology; Electrochemical machining; Frequency estimation; Frequency synchronization; MIMO; Maximum likelihood estimation; Receiving antennas; Signal to noise ratio; Transmitters; Transmitting antennas;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-3692-7
  • Electronic_ISBN
    978-1-4244-3693-4
  • Type

    conf

  • DOI
    10.1109/WICOM.2009.5304663
  • Filename
    5304663