• DocumentCode
    1530994
  • Title

    Characterization with embedded synchronization for read-write channels

  • Author

    Lin, Maria Yu ; Bergmans, J.W.M. ; Mathew, George ; Foo, Say Wei

  • Author_Institution
    Data Storage Inst., Singapore
  • Volume
    37
  • Issue
    4
  • fYear
    2001
  • fDate
    7/1/2001 12:00:00 AM
  • Firstpage
    1953
  • Lastpage
    1956
  • Abstract
    As densities and data rates increase, accurate characterization of the read/write process becomes increasingly critical in magnetic/optical recording. In this paper, we propose an advanced synchronous characterization scheme which employs joint synchronization and characterization in data-aided mode. This is a completely adaptive approach with distinct features which make it superior to existing characterization techniques. It can work with arbitrary data patterns and it is suitable for characterizing both magnetic and optical channels. Further, because it is operating in data-aided mode, it can tolerate much larger noise and distortions compared to a nondata-aided approach. Hence, the proposed approach is well suited for read-write channels with high densities, high data-rates, and/or low signal to noise ratios
  • Keywords
    adaptive signal processing; digital magnetic recording; magnetic storage; optical storage; synchronisation; adaptive approach; data-aided mode; embedded synchronization; high data-rate channels; high density channels; joint synchronization/characterization; low SNR channels; magnetic channels; optical channels; read-write channels; read/write process characterization; synchronous characterization scheme; Magnetic noise; Magnetic recording; Magnetic separation; Noise robustness; Optical distortion; Optical noise; Optical recording; Phase locked loops; Signal processing algorithms; Signal to noise ratio;
  • fLanguage
    English
  • Journal_Title
    Magnetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9464
  • Type

    jour

  • DOI
    10.1109/20.951019
  • Filename
    951019