• DocumentCode
    1966008
  • Title

    Experimental evaluation of cyclostationarity-based multiple signal identification method by using spatial channel emulator

  • Author

    Harada, Hiroki ; Fujii, Hiromasa ; Miura, Shunji ; Kayama, Hidetoshi ; Okano, Yoshiki ; Imai, Tetsuro

  • Author_Institution
    NTT DOCOMO, INC., Yokosuka, Japan
  • fYear
    2011
  • fDate
    3-6 May 2011
  • Firstpage
    586
  • Lastpage
    593
  • Abstract
    An important and widely used detection technique is cyclostationarity-based feature detection because the method does not require prior information such as the signal bandwidth or frame format, and time and frequency synchronization are likewise not required. The problem with conventional cyclostationarity-based feature detection is that the detection probability of weak signals degrades if multiple signals with different received-power levels are captured simultaneously. One way to address this problem is to use a multiple signal identification method in which appropriate notches suppress the effects of other signals. In this paper, we evaluate a multiple signal identification method based on test bed experiments. In order to evaluate the method in a realistic environment as a field test, a spatial channel emulator and an antenna of a mock terminal are applied to the test bed. The results reveal the effectiveness of the methodology in realistic spectrum sharing scenarios.
  • Keywords
    feature extraction; probability; signal detection; telecommunication channels; cyclostationarity based multiple signal identification method; detection probability; feature detection; received power levels; spatial channel emulator; test bed experiments; Cognitive radio; Detectors; Feature extraction; Interference; Iterative methods; OFDM; Radio transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    New Frontiers in Dynamic Spectrum Access Networks (DySPAN), 2011 IEEE Symposium on
  • Conference_Location
    Aachen
  • Print_ISBN
    978-1-4577-0177-1
  • Electronic_ISBN
    978-1-4577-0176-4
  • Type

    conf

  • DOI
    10.1109/DYSPAN.2011.5936250
  • Filename
    5936250