• DocumentCode
    2428238
  • Title

    An investigation of non-data-aided SNR estimation techniques for analog modulation signals

  • Author

    Xiao, Haifeng ; Shi, Yun Q. ; Su, Wei ; Kosinski, John

  • Author_Institution
    Dept of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
  • fYear
    2010
  • fDate
    12-14 April 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper investigates the non-data-aided SNR estimation techniques for analog modulation signals. Two existing algorithms, M2M4 and ED-based estimators, are modified and applied to SNR estimation for signals with analog modulation. This paper also proposes a simple but practical Spectrum-based SNR estimator for analog modulation. The performances of the three SNR estimators are compared and analyzed.
  • Keywords
    cognitive radio; modulation; software radio; ED-based estimators; analog modulation signals; cognitive radio; nondata-aided SNR estimation; software radio; Accuracy; Ad hoc networks; Bandwidth; Energy measurement; Heuristic algorithms; Prediction algorithms; Prediction methods; Switches; Testing; Wireless LAN; analog modulation signals; non-data-aided (NDA) estimators; signal-to-noise ratio (SNR) estimation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sarnoff Symposium, 2010 IEEE
  • Conference_Location
    Princeton, NJ
  • Print_ISBN
    978-1-4244-5592-8
  • Type

    conf

  • DOI
    10.1109/SARNOF.2010.5469706
  • Filename
    5469706
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2428238