• DocumentCode
    1277541
  • Title

    20-GSample/s (10 GHz \\times 2 Clocks) Burst-Mode CDR Based on Injection Locking and Space Sampling for Multiaccess Networks

  • Author

    Shastri, Bhavin J. ; Prucnal, Paul R. ; Plant, David V.

  • Author_Institution
    Dept. of Electr. Eng., Princeton Univ., Princeton, NJ, USA
  • Volume
    4
  • Issue
    5
  • fYear
    2012
  • Firstpage
    1783
  • Lastpage
    1793
  • Abstract
    In this paper, we demonstrate a novel 20-GSample/s burst-mode clock and data recovery (BM-CDR) technique for optical multiaccess networks. The BM-CDR incorporates an injection-locking method for clock recovery and a clock phase aligner employing space sampling with two multiphase clocks at 10 GHz and a phase-picking algorithm for automatic clock phase acquisition. The design provides low latency and fast response without requiring a reset signal from the network layer. The BM-CDR achieves a bit error rate <; 10-10 while featuring instantaneous (0-bit) phase acquisition for any phase step (±2π rad) between successive bursts. We also compare the data with probabilistic theoretical predictions to validate the experimental results.
  • Keywords
    clock and data recovery circuits; error statistics; multi-access systems; optical fibre networks; BER; BM-CDR; automatic clock phase acquisition; bit error rate; burst-mode clock and data recovery technique; clock phase aligner; frequency 10 GHz; injection-locking method; multiphase clocks; optical multiaccess networks; phase-picking algorithm; probabilistic theoretical predictions; space sampling; Bit rate; Clocks; Jitter; Logic gates; Optical fiber subscriber loops; Optical network units; Passive optical networks; Access networks; burst mode (BM); clock and data recovery (CDR); clock phase aligner (CPA); injection locking; probabilistic theory; space sampling;
  • fLanguage
    English
  • Journal_Title
    Photonics Journal, IEEE
  • Publisher
    ieee
  • ISSN
    1943-0655
  • Type

    jour

  • DOI
    10.1109/JPHOT.2012.2216515
  • Filename
    6293835