• DocumentCode
    2896478
  • Title

    BER-based adaptive ADC-equalizer based receiver for communication links

  • Author

    Narasimha, Rajan ; Shanbhag, Naresh ; Singer, Andrew

  • Author_Institution
    ECE Dept., Univ. of Illinois at Urbana-Champaign, Urbana, IL, USA
  • fYear
    2010
  • fDate
    6-8 Oct. 2010
  • Firstpage
    64
  • Lastpage
    69
  • Abstract
    This paper presents the architecture of a non-uniform reference level bit error-rate (BER)-optimal analog-to-digital converter (ADC) and equalizer, for high-speed communication links. Finite precision analysis demonstrates that the use of the BER-optimal ADC does not increase the equalizer complexity/power significantly. An adaptive algorithm referred to as the approximate minimum BER algorithm (AMBER) is proposed in order to determine the BER-optimal reference levels. Finite-precision analysis of AMBER indicates that reference levels represented with 9-bit precision is sufficient for a 3-bit BER-optimal ADC to achieve BER equal to that of a 4-bit conventional ADC. An architectural implementation of AMBER is also presented. The reference-level adaptation unit (RL-UD) has a full-adder (FA) complexity that is 76% over the conventional adaptive equalizer. The RL-UD block is clock-gated after convergence and hence does not present a power overhead. Thus, for high-speed links employing the flash ADC architecture, the proposed AMBER receiver represents a power savings of approximately 50% in the ADC.
  • Keywords
    adaptive equalisers; adders; analogue-digital conversion; computational complexity; error statistics; radio receivers; BER-based adaptive ADC-equalizer based receiver; approximate minimum BER algorithm; finite-precision analysis; full-adder complexity; high-speed communication links; nonuniform reference level bit error-rate; optimal analog-to-digital converter; reference-level adaptation unit; Bit error rate; Complexity theory; Equalizers; Gain; Quantization; Receivers; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Systems (SIPS), 2010 IEEE Workshop on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1520-6130
  • Print_ISBN
    978-1-4244-8932-9
  • Electronic_ISBN
    1520-6130
  • Type

    conf

  • DOI
    10.1109/SIPS.2010.5624766
  • Filename
    5624766