• DocumentCode
    2548963
  • Title

    A wideband analog multi-resolution spectrum sensing (MRSS) technique for cognitive radio (CR) systems

  • Author

    Hur, Youngmi ; Park, J. ; Woo, W. ; Lim, K. ; Lee, C.-H. ; Kim, H.S. ; Laskar, J.

  • Author_Institution
    Samsung RFIC Design Center, Georgia Tech., Atlanta, GA
  • fYear
    2006
  • fDate
    21-24 May 2006
  • Abstract
    Spectrum sensing technology is most vital to the implementation of a CR system using dynamic spectrum resource management. This paper suggested a CR system architecture with a wideband dual-stage spectrum sensing technique - a coarse and a fine spectrum sensing. Specifically, the coarse spectrum sensing technique adopted wavelet transforms in this architecture to provide a multi-resolution spectrum sensing (MRSS) feature. Analog implementation of the MRSS block offers wideband, low-power, and real-time operation. From the system simulation results, MRSS achieved 15-, 20-, and 30-dB detection margin for FM, VSB, and OFDM signals, having the corresponding signal power of -110, -120, and -120 dBm, respectively
  • Keywords
    broadband networks; low-power electronics; radio networks; spectral analysis; wavelet transforms; 15 dB; 20 dB; 30 dB; CR system architecture; FM signal; OFDM signal; VSB signal; analog implementation; cognitive radio system; dynamic spectrum resource management; low-power operation; real-time operation; system simulation; wavelet transforms; wideband analog multiresolution spectrum sensing; wideband dual-stage spectrum sensing; Broadband antennas; Chromium; Cognitive radio; Communication system control; Control systems; Digital modulation; Frequency; Signal processing; Wideband; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2006. ISCAS 2006. Proceedings. 2006 IEEE International Symposium on
  • Conference_Location
    Island of Kos
  • Print_ISBN
    0-7803-9389-9
  • Type

    conf

  • DOI
    10.1109/ISCAS.2006.1693528
  • Filename
    1693528