• DocumentCode
    884894
  • Title

    A Fast Time-Recursive Correlator for DSSS Communications

  • Author

    Akopian, David ; Agaian, Sos

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Texas San Antonio, San Antonio, TX
  • Volume
    15
  • fYear
    2008
  • fDate
    6/30/1905 12:00:00 AM
  • Firstpage
    589
  • Lastpage
    592
  • Abstract
    Direct sequence spread spectrum (DSSS) correlators synchronize received signals with locally generated replicas. They can be implemented either in time or frequency domains. Time-domain correlators are more flexible in multimode operations, and they are typically preferred in hardware-based implementations. Frequency-domain approaches are more computationally efficient, which makes them attractive for software-based solutions. As an alternative to frequency-domain methods, this letter derives computationally-fast time-domain algorithm using the pseudorandom and binary structure of widely used DSSS signals. Our approach is multiplication-free and accurate, it is efficient for multimode operations requiring limited number of correlator outputs, and no constraints are imposed on sequence lengths.
  • Keywords
    correlators; recursive estimation; spread spectrum communication; time-domain analysis; DSSS signals; binary structure; computationally-fast time-domain algorithm; direct sequence spread spectrum communications; fast time-recursive correlator; frequency domains; frequency-domain methods; multimode operations; pseudonoise coded communication; pseudorandom structure; Bandwidth; Communication standards; Correlators; Frequency domain analysis; Frequency synchronization; Global Positioning System; Signal generators; Signal processing algorithms; Spread spectrum communication; Time domain analysis; Correlators; pseudonoise coded communication;
  • fLanguage
    English
  • Journal_Title
    Signal Processing Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1070-9908
  • Type

    jour

  • DOI
    10.1109/LSP.2008.2001560
  • Filename
    4639571