• DocumentCode
    2618338
  • Title

    FPGA implementation of correlation and ML channel estimation for long code CDMA systems

  • Author

    Elnamaky, Mohamed ; Massicotte, Daniel

  • Author_Institution
    Prince Sultan Adv. Technol. Res. Inst., King Saud Univ., Riyadh, Saudi Arabia
  • fYear
    2010
  • fDate
    10-13 May 2010
  • Firstpage
    418
  • Lastpage
    421
  • Abstract
    The estimation of channel delays along with their respective complex channel coefficients of different users constitutes the first stage in the detection process at the receiving base station in a CDMA communication system. This stage forms the bottleneck for the detection of users´ bit streams; both in terms of accuracy as well as execution time. In this paper, we address the problem of channel estimation in the complex scenario involving multiple users, multiple paths, and fading channels in CDMA systems. We will highlight a simple pipelined architecture for recursive channel estimators and describe the implementation issues related to the dominant type of operations, data flows, structure regularities, FPGA implementation and further figures to discuss the WCDMA real-time requirements in terms of processing capabilities..
  • Keywords
    channel estimation; code division multiple access; field programmable gate arrays; maximum likelihood estimation; recursive estimation; FPGA correlation; ML channel delay estimation; complex channel coefficients; fading channels; long code CDMA communication systems; multiple path channel; receiving base station; recursive channel estimators; user bit stream process; Channel estimation; Noise; CDMA; Channel Estimation; FPGA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Sciences Signal Processing and their Applications (ISSPA), 2010 10th International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-7165-2
  • Type

    conf

  • DOI
    10.1109/ISSPA.2010.5605456
  • Filename
    5605456