• DocumentCode
    1674093
  • Title

    A novel Sub-Nyquist sampling of sparse wideband signals

  • Author

    Chia-Hua Lin ; Shang-Ho Tsai ; Chuang, G.C.H.

  • Author_Institution
    Dept. of Electr. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan
  • fYear
    2013
  • Firstpage
    4628
  • Lastpage
    4632
  • Abstract
    We propose a Sub-Nyquist sampling scheme using only one mixer, one filter bank with M subfilters and M low rate ADCs. Compared to the MWC (Modulated Wideband Converter) system in [1], the proposed sampling system has several complexity advantages. First, due to the use of only one mixer, the hardware complexity for analog circuits is significantly reduced. Moreover, the system only needs one PN sequence and thus the search complexity for the best sequence is greatly reduced. The use of the best sequence enables the proposed system to achieve a smaller mean square error (MSE) between the original and the reconstructed signals than that of the MWC system. Simulation results are provided to show the performance superiority of the proposed system in terms of MSE and recovery percentage.
  • Keywords
    compressed sensing; mean square error methods; signal sampling; MSE; PN sequence; analog circuit; filter bank; hardware complexity; low rate ADC; mean square error; mixer; search complexity; sparse wideband signal; subNyquist sampling; subfilters; Complexity theory; Compressed sensing; Frequency modulation; Gold; Mixers; Signal to noise ratio; Wideband; Compressive sensing (CS); modulated wideband converter (MWC); random demodulator (RD); spectrum blind reconstruction; sub-Nyquist sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638537
  • Filename
    6638537