• DocumentCode
    3402603
  • Title

    Modulation recognition techniques for improving communication efficiency in SDR networks

  • Author

    Ghodeswar, Shweta ; Poonacha, P.G.

  • Author_Institution
    Int. Inst. of Inf. Technol. Bangalore (IIIT-B), Bangalore, India
  • fYear
    2013
  • fDate
    20-22 Sept. 2013
  • Firstpage
    233
  • Lastpage
    238
  • Abstract
    Next century demand for a low cost, high efficiency wireless technology is expected to be the commercial implementation of Software Defined Radio (SDR) paradigm. This is expected to improve base station efficiency and robust universal receivers to provide seamless high quality service to the end user. One of the many problems which need to be solved effectively to make SDR infrastructure more efficient is modulation recognition. With robust modulation recognition module at the receiver, there will be no need to communicate transmission format type to the receiver which results in wastage of bandwidth. It will also allow base stations as well as mobiles to use a transmission method which is just right for the given channel conditions and to meet customer requirements on cost and quality of service. In this paper we review some interesting modulation recognition techniques after discussing the modulation recognition problem in some detail. We also present a modulation recognition method using six interesting features and study its performance.
  • Keywords
    modulation; software radio; SDR networks; communication efficiency; high efficiency wireless technology; modulation recognition techniques; next century demand; software defined radio; Estimation; Feature extraction; Modulation; Receivers; Signal to noise ratio; Software; Standards; Modulation classification schemes; SNR estimation; Software Defined Radio (SDR); modulation recognition;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer and Communication Technology (ICCCT), 2013 4th International Conference on
  • Conference_Location
    Allahabad
  • Print_ISBN
    978-1-4799-1569-9
  • Type

    conf

  • DOI
    10.1109/ICCCT.2013.6749633
  • Filename
    6749633