• DocumentCode
    2183708
  • Title

    Quadrature compressive sampling of multiband radar signals at sub-Landau rate

  • Author

    Chen, Shengyao ; Xi, Feng ; Liu, Zhong ; Bao, Bocheng

  • Author_Institution
    Department of Electronic Engineering, Nanjing University of Science & Technology, China
  • fYear
    2015
  • fDate
    21-24 July 2015
  • Firstpage
    234
  • Lastpage
    238
  • Abstract
    Sampling multiband radar signals is an essential issue of multiband/multifunction radar. This paper proposes a multiband quadrature compressive sampling (MQCS) system to perform the sampling at sub-Landau rate. The MQCS system randomly projects the multiband signal into a compressive multiband one by modulating each subband signal with a low-pass signal and then samples the compressive multiband signal at Landau-rate with output of compressive measurements. The compressive inphase and quadrature (I/Q) components of each subband are extracted from the compressive measurements respectively and are exploited to recover the baseband I/Q components. As effective bandwidth of the compressive multiband signal is much less than that of the received multiband one, the sampling rate is much less than Landau rate of the received signal. Simulation results validate that the proposed MQCS system can effectively acquire and reconstruct the baseband I/Q components of the multiband signals.
  • Keywords
    Band-pass filters; Bandwidth; Baseband; Demodulation; Dictionaries; Noise; Radar; analog-to-information conversion; compressive sampling; multiband radar signal; quadrature sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing (DSP), 2015 IEEE International Conference on
  • Conference_Location
    Singapore, Singapore
  • Type

    conf

  • DOI
    10.1109/ICDSP.2015.7251866
  • Filename
    7251866