• DocumentCode
    1133652
  • Title

    Bit-wise parallel algorithms for efficient software correlation applied to a GPS software receiver

  • Author

    Ledvina, Brent M. ; Psiaki, Mark L. ; Powell, Steven P. ; Kintner, Paul M.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY, USA
  • Volume
    3
  • Issue
    5
  • fYear
    2004
  • Firstpage
    1469
  • Lastpage
    1473
  • Abstract
    A set of efficient algorithms for processing code-division multiple-access spread spectrum signals has been developed. They make use of bit-wise parallelism to process 32 samples simultaneously. These algorithms have been implemented in a real-time global positioning system software receiver. The receiver consists of a radio-frequency front end, a system of shift registers, a digital data acquisition card, and software that runs on a 1.73-GHz PC. The PC performs base-band mixing and pseudorandom noise code correlations in a manner that directly simulates a hardware digital correlator.
  • Keywords
    Global Positioning System; code division multiple access; correlation methods; data acquisition; radio receivers; software radio; spread spectrum communication; 1.73 GHz; DS-CDMA; GPS software receiver; Global Positioning System; baseband mixing; bit-wise algorithm; code division multiple access spread spectrum signals; digital data acquisition card; hardware digital correlator; radio-frequency front end; real-time global positioning; shift registers; software correlation; Global Positioning System; Multiaccess communication; Parallel algorithms; Radio frequency; Real time systems; Shift registers; Signal processing; Software algorithms; Software systems; Spread spectrum communication; CDMA; Code division multiple access; GPS; global positioning system; software radio; spread spectrum;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2004.833467
  • Filename
    1343880