• DocumentCode
    1715277
  • Title

    Compressive sampling based differential detection of ultra wideband signals

  • Author

    Gishkori, Shahzad ; Leus, Geert ; Lottici, Vincenzo

  • Author_Institution
    Fac. of EEMCS, Delft Univ. of Technol., Delft, Netherlands
  • fYear
    2010
  • Firstpage
    194
  • Lastpage
    199
  • Abstract
    In this paper we focus on compressive sampling (CS) based ultra wideband (UWB) differential detection. We formulate an optimization problem to jointly recover the sparse received UWB signals as well as the differentially encoded data symbol. We utilize an alternating direction method of multipliers (ADMoM) to solve this joint optimization problem. Our proposed joint recovery method outperforms the straightforward separate recovery method, which recovers the sparse received UWB signals in a first step and then detects the differentially encoded symbol based on the recovered signals.
  • Keywords
    optimisation; signal detection; signal sampling; ultra wideband communication; ADMoM; UWB differential detection; compressive sampling based differential detection; differential encoded data symbol; direction method of multipliers; joint optimization problem; joint recovery method; ultra wideband signal; Bit error rate; Cost function; Detectors; Joints; Modulation; Signal to noise ratio; Ultra wideband technology; ADMoM; compressive sampling; differential detection; ultra-wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Personal Indoor and Mobile Radio Communications (PIMRC), 2010 IEEE 21st International Symposium on
  • Conference_Location
    Instanbul
  • Print_ISBN
    978-1-4244-8017-3
  • Type

    conf

  • DOI
    10.1109/PIMRC.2010.5671606
  • Filename
    5671606