• DocumentCode
    1765842
  • Title

    Multipath error mitigation using self-encoded spread spectrum for binary-offset-carrier signals

  • Author

    Duraisamy, Prakash ; Won Mee Jang ; Lim Nguyen ; Steiner, A.

  • Author_Institution
    Peter Kiewit Inst. of Inf. Sci., Technol. & Eng., Univ. of Nebraska-Lincoln, Omaha, NE, USA
  • Volume
    8
  • Issue
    7
  • fYear
    2014
  • fDate
    May 6 2014
  • Firstpage
    1048
  • Lastpage
    1055
  • Abstract
    Self-encoded spread spectrum (SESS) incorporated with binary-offset-carrier modulation can significantly improve the navigation accuracy exploiting the inherent temporal diversity of iterative detection (ID). ID is the natural realisation of the detection scheme based on the unique SESS spreading sequence that comes from the data source itself. The enhanced precision is presented in terms of multipath error envelope, running average error and root-mean-square error for early-minus-late and elary/late slope. SESS is a promising technology that can substantially mitigate detrimental effects of multipath on tracking error for position location or navigation. The accuracy of SESS with ID is superior to other conventional correlation detection schemes with a similar or minimally increased computational complexity.
  • Keywords
    computational complexity; diversity reception; mean square error methods; modulation; navigation; spread spectrum communication; SESS spreading sequence; binary-offset-carrier modulation; binary-offset-carrier signals; computational complexity; correlation detection schemes; data source; early-minus-late slope; elary-late slope; iterative detection; multipath error envelope; multipath error mitigation; navigation; navigation accuracy; root-mean-square error; running average error; self-encoded spread spectrum; temporal diversity; tracking error;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com.2013.1077
  • Filename
    6809385