• DocumentCode
    2192808
  • Title

    Efficient sampling of sparse wideband analog signals

  • Author

    Mishali, Moshe ; Eldar, Yonina C. ; Tropp, Joel A.

  • Author_Institution
    Dept. of Electr. Eng., Technion - Israel Inst. of Technol., Haifa, Israel
  • fYear
    2008
  • fDate
    3-5 Dec. 2008
  • Firstpage
    290
  • Lastpage
    294
  • Abstract
    Periodic nonuniform sampling is a known method to sample spectrally sparse signals below the Nyquist rate. This strategy relies on the implicit assumption that the individual samplers are exposed to the entire frequency range. This assumption becomes impractical for wideband sparse signals. The current paper proposes an alternative sampling stage that does not require a full-band front end. Instead, signals are captured with an analog front end that consists of a bank of multipliers and lowpass filters whose cutoff is much lower than the Nyquist rate. The problem of recovering the original signal from the low-rate samples can be studied within the framework of compressive sampling. An appropriate parameter selection ensures that the samples uniquely determine the analog input. Moreover, the analog input can be stably reconstructed with digital algorithms. Numerical experiments support the theoretical analysis.
  • Keywords
    Nyquist criterion; analogue multipliers; low-pass filters; radiofrequency filters; signal sampling; Nyquist rate; compressive sampling; lowpass filters; multipliers; periodic nonuniform sampling; sparse wideband analog signals; Analog-digital conversion; Demodulation; Narrowband; Nonuniform sampling; Optical filters; RF signals; Radio frequency; Sampling methods; Signal design; Wideband; Analog to digital conversion; compressive sampling; infinite measurement vectors (IMV); multiband sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical and Electronics Engineers in Israel, 2008. IEEEI 2008. IEEE 25th Convention of
  • Conference_Location
    Eilat
  • Print_ISBN
    978-1-4244-2481-8
  • Electronic_ISBN
    978-1-4244-2482-5
  • Type

    conf

  • DOI
    10.1109/EEEI.2008.4736707
  • Filename
    4736707