• DocumentCode
    3561141
  • Title

    Signal Acquisition of High-Speed Periodic Signals Using Incoherent Sub-Sampling and Back-End Signal Reconstruction Algorithms

  • Author

    Choi, Hyun ; Gomes, Alfred V. ; Chatterjee, Abhijit

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
  • Volume
    19
  • Issue
    7
  • fYear
    2011
  • fDate
    7/1/2011 12:00:00 AM
  • Firstpage
    1125
  • Lastpage
    1135
  • Abstract
    This paper presents a high-speed periodic signal acquisition technique using incoherent sub-sampling and back-end signal reconstruction algorithms. The signal reconstruction algorithms employ a frequency domain analysis for frequency estimation, and suppression of jitter-induced sampling noise. By switching the sampling rate of a digitizer, the analog frequency value of the sampled signal can be recovered. The proposed signal reconstruction uses incoherent sub-sampling to reduce hardware complexity. The results of simulation and hardware experiments indicate that the proposed signal reconstruction algorithms are able to reconstruct multi-tone high-speed periodic signals in the discrete time domain. The new signal acquisition technique simplifies signal acquisition hardware for testing and characterization of high-speed analog and digital signals.
  • Keywords
    frequency estimation; frequency-domain analysis; jitter; signal detection; signal reconstruction; signal sampling; analog frequency value; back-end signal reconstruction algorithm; frequency domain analysis; frequency estimation; high-speed periodic signal acquisition; incoherent subsampling algorithm; jitter-induced sampling noise suppression; Circuits; Clocks; Delay lines; Frequency domain analysis; Hardware; Sampling methods; Signal reconstruction; Signal sampling; Testing; Timing; Incoherent sub-sampling; signal reconstruction;
  • fLanguage
    English
  • Journal_Title
    Very Large Scale Integration (VLSI) Systems, IEEE Transactions on
  • Publisher
    ieee
  • Conference_Location
    6/10/2010 12:00:00 AM
  • ISSN
    1063-8210
  • Type

    jour

  • DOI
    10.1109/TVLSI.2010.2048135
  • Filename
    5483138