• DocumentCode
    159587
  • Title

    Cyclostationarity-based spectrum sensing properties for signals of opportunity

  • Author

    Rahman, Md Lushanur ; Figueiredo e Silva, Pedro ; Lohan, Elena-Simona

  • Author_Institution
    Dept. of Electron. & Commun. Eng., Tampere Univ. of Technol., Tampere, Finland
  • fYear
    2014
  • fDate
    8-10 Oct. 2014
  • Firstpage
    390
  • Lastpage
    395
  • Abstract
    Performance enhancement in indoor positioning is one of the main concerns in recent days. Seeking such improvements, developments in navigation systems are employing Signals of Opportunity (SoO), meaning signals not originally developed for positioning purposes, such as wireless communication signals and Ultra Wideband (UWB) signals. Cyclostationary methods can provide necessary tools for signal detection for these systems. The detection part is only the first step towards cognitive positioning, and this is the part addressed in this paper. However, this work is not limited to cognitive positioning area, but it can find its usability in cognitive spectrum sensing as well. The aim of this paper is to provide a better understanding of the cyclostationary spectrum sensing properties of the most encountered modulations techniques for the SoO signals, namely CDMA, OFDM and TH-PPM UWB.
  • Keywords
    OFDM modulation; code division multiple access; cognitive radio; indoor radio; radio spectrum management; signal detection; CDMA; OFDM; TH-PPM UWB; cognitive positioning; cognitive spectrum sensing; cyclostationarity-based spectrum sensing; cyclostationary methods; cyclostationary spectrum sensing; indoor positioning; navigation systems; signal detection; signals of opportunity; ultra wideband signals; wireless communication signals; Multiaccess communication; OFDM; Probability density function; Sensors; Signal to noise ratio; Wireless communication; Cyclostationary detector; signals of opportunity; spectrum sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless and Mobile Computing, Networking and Communications (WiMob), 2014 IEEE 10th International Conference on
  • Conference_Location
    Larnaca
  • Type

    conf

  • DOI
    10.1109/WiMOB.2014.6962200
  • Filename
    6962200