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
Link To Document :
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