• DocumentCode
    1034997
  • Title

    Adaptive switched-capacitor filters based on the LMS algorithm

  • Author

    Menzi, Ulrich ; Moschytz, George S.

  • Author_Institution
    Inst. for Signal & Inf. Process., ETH Zurich, Switzerland
  • Volume
    40
  • Issue
    12
  • fYear
    1993
  • fDate
    12/1/1993 12:00:00 AM
  • Firstpage
    929
  • Lastpage
    942
  • Abstract
    The implementation of adaptive FIR filters based on the LMS algorithm using SC circuits is described. Basically, the filters consist of a delay element, a summing circuit, an integrator, and a multiplier. The influence of nonideal effects of SC networks on the behavior of a given filter is investigated. It is shown that the nonidealities in the FIR filter part of the circuit can be eliminated by an additional constant tap element, whereas the main error source in the adaptation part is the multiplier- and integrator offset-errors. The errors can be compensated for using special offset-free circuits. Using the proposed offset-compensation schemes, the accuracy of a switched-capacitor adaptive filter is mainly determined by the nonlinearity errors of the multipliers
  • Keywords
    adaptive filters; integrating circuits; least squares approximations; mixed analogue-digital integrated circuits; multiplying circuits; summing circuits; switched capacitor filters; LMS algorithm; SC circuits; adaptive FIR filters; constant tap element; delay element; error source; integrator; mixed-mode circuits; multiplier; nonideal effects; nonlinearity errors; offset-compensation schemes; offset-free circuits; summing circuit; switched-capacitor filters; Adaptive equalizers; Adaptive filters; Delay; Diversity reception; Error analysis; Finite impulse response filter; Least squares approximation; Signal processing; Summing circuits; Wiener filter;
  • fLanguage
    English
  • Journal_Title
    Circuits and Systems I: Fundamental Theory and Applications, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1057-7122
  • Type

    jour

  • DOI
    10.1109/81.269034
  • Filename
    269034