• DocumentCode
    3149058
  • Title

    Rapid design of high performance adaptive equalizer and Viterbi decoder for the class-IV PRML channel

  • Author

    Smith, B.D.E. ; McCanny, J.V.

  • Author_Institution
    Queen´´s Univ., Belfast, UK
  • fYear
    1998
  • fDate
    8-10 Oct 1998
  • Firstpage
    307
  • Lastpage
    316
  • Abstract
    This paper describes methods for the rapid design and VLSI implementation of two key components (the adaptive filter and Viterbi decoder) of the class-IV partial response maximum likelihood channel (PR-IV). These are implemented using parameterized modules, constructed from a synthesizable silicon architecture library containing core DSP and arithmetic functions. Design studies, based on a 0.35 micron 3.3 V standard cell CMOS process, indicate that worst case sampling rates of 180 mega-samples per second are achievable with a power consumption of 0.8 W and an area of 4.3 mm2. Higher sampling rates can be obtained by operating a number of filter modules in parallel. This approach offers power saving advantages when compared with systems employing pipelined filters operating at the same speed
  • Keywords
    CMOS integrated circuits; VLSI; Viterbi decoding; adaptive equalisers; digital signal processing chips; maximum likelihood detection; partial response channels; signal sampling; 0.35 micron; 0.8 W; 3.3 V; VLSI implementation; Viterbi decoder; adaptive equalizer; adaptive filter; arithmetic functions; class-IV PRML channel; core DSP; filter modules; parameterized modules; partial response maximum likelihood channel; power consumption; power saving; sampling rates; standard cell CMOS process; synthesizable silicon architecture library; Adaptive equalizers; Adaptive filters; Arithmetic; Digital signal processing; Libraries; Maximum likelihood decoding; Sampling methods; Silicon; Very large scale integration; Viterbi algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems, 1998. SIPS 98. 1998 IEEE Workshop on
  • Conference_Location
    Cambridge, MA
  • ISSN
    1520-6130
  • Print_ISBN
    0-7803-4997-0
  • Type

    conf

  • DOI
    10.1109/SIPS.1998.715793
  • Filename
    715793