• DocumentCode
    717894
  • Title

    Spectrum Position Sensing for Sparse Multiband Signal with Finite Rate of Innovation

  • Author

    Xue Wang ; Min Jia ; Xuemai Gu

  • Author_Institution
    Sch. of Electron. & Inf. Eng., Harbin Inst. of Technol., Harbin, China
  • fYear
    2015
  • fDate
    11-14 May 2015
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Different from conventional sub-Nyquist sampling methods for sparse multiband signal, the modulated wideband converter system provides a feasible way that can solve the case when carrier frequency is unknown. In this structure, there is a block entitled continuous to finite (CTF) to find the support of origin signal with some prior information about bands of signal. In this paper, we consider the challenging problem of determine the support of signal, whose known the number of the bands and the maximum bandwidth of each of the bands. We propose another approach to achieve the spectrum position sensing for sparse multiband signal with finite rate of innovation (FRI). First, represent the multiband signal as another sparse form which is the type of FRI signal in another transform domain. Then, use FRI theory to process this signal and confirm the support of origin signal without prior information about bands. Finally, obtain the spectrum position of multiband signal for future application like monitoring, interference or interception.
  • Keywords
    radio spectrum management; signal detection; signal sampling; CTF; FRI theory; continuous to finite; finite rate of innovation; modulated wideband converter system; sparse multiband signal; spectrum position sensing; Iterative methods; Noise; Sensors; Streaming media; Technological innovation; Wideband;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
  • Conference_Location
    Glasgow
  • Type

    conf

  • DOI
    10.1109/VTCSpring.2015.7146103
  • Filename
    7146103