• DocumentCode
    1333719
  • Title

    On the integrated cross-noise term in correlation detectors

  • Author

    Niranjayan, S. ; Beaulieu, Norman C.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, AB, Canada
  • Volume
    57
  • Issue
    11
  • fYear
    2009
  • Firstpage
    3244
  • Lastpage
    3248
  • Abstract
    An integrated cross-noise component frequently arises in communications and in signal processing. One typical example is the autocorrelation receiver. Integrated cross-noise generally appears when a noisy signal is recovered (detected) using correlation techniques with a noisy signal as the reference. The statistics of the integrated cross-noise component are analyzed in general for both the cases of uncorrelated and correlated noise terms in the integrand. The exact 2nd order statistics of the integrated cross-noise are derived, and new improved expressions are derived for an approximate probability density function. Accurate computer simulations are performed to evaluate the actual probability density function of the integrated cross-noise component and these results are compared with the approximations. The convergence of the approximation to a Gaussian distribution is also discussed.
  • Keywords
    Gaussian distribution; correlation methods; signal processing; ultra wideband communication; 2nd order statistics; Gaussian distribution; UWB systems; approximate probability density function; autocorrelation receiver; correlation detectors; integrated cross-noise term; signal processing; ultra wide bandwidth systems; Autocorrelation; Computer simulation; Convergence; Detectors; Performance evaluation; Probability density function; Signal detection; Signal processing; Statistical analysis; Statistics; Autocorrelation detection, cross-noise, transmitted reference;
  • fLanguage
    English
  • Journal_Title
    Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0090-6778
  • Type

    jour

  • DOI
    10.1109/TCOMM.2009.11.070197
  • Filename
    5336845