• DocumentCode
    6361
  • Title

    Novel {\\rm S}\\alpha {\\rm S} PDF Approximations and Their Applications in Wireless Signal Detection

  • Author

    Yunfei Chen ; Jiming Chen

  • Author_Institution
    Sch. of Eng., Univ. of Warwick, Coventry, UK
  • Volume
    14
  • Issue
    2
  • fYear
    2015
  • fDate
    Feb. 2015
  • Firstpage
    1080
  • Lastpage
    1091
  • Abstract
    Three new approximations to the probability density function (PDF) of the symmetric alpha stable (SαS) distribution are proposed. The first two approximations use rational functions while the third approximation uses power functions. Using these approximations, new detectors for signals in symmetric alpha stable noise are also derived. Numerical results show that all these new approximations have good accuracies. Numerical results also show that the new detectors based on these approximations outperform the existing detectors, especially when the characteristic exponent of the symmetric alpha stable distribution is small.
  • Keywords
    approximation theory; signal detection; statistical distributions; PDF approximations; SαS distribution; power functions; probability density function; rational functions; signal detector; symmetric alpha stable distribution; symmetric alpha stable noise; wireless signal detection; Accuracy; Detectors; Equations; Least squares approximations; Random variables; Wireless communication; Approximation; bit error rate; detection; symmetric alpha stable;
  • fLanguage
    English
  • Journal_Title
    Wireless Communications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1536-1276
  • Type

    jour

  • DOI
    10.1109/TWC.2014.2364181
  • Filename
    6932454