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
Abstract :
An approach to implementing an adaptive FIR (finite-impulse response) filter based on the LMS (least-mean-square) algorithm using SC (switched-capacitor) circuits is described. A concept for such a realization is presented, consisting of the following basic elements: delay element, summer, integrator, and multiplier. The influence of nonideal effects of SC networks on the behavior of the filter is investigated in an error analysis. It is shown that nonidealities in the FIR filter part can be eliminated by an additional constant tap element, whereas the main error source in the adaptation part is the integrator offset errors, which can be eliminated by offset-free SC integrators
Keywords :
adaptive filters; error analysis; filtering and prediction theory; least squares approximations; network analysis; switched capacitor filters; LMS algorithm; SC networks; active filters; adaptive FIR filter; additional constant tap element; error analysis; finite-impulse response; integrator offset errors; least-mean-square; nonideal effects; offset-free SC integrators; switched capacitor filters; Adaptive filters; Adders; Capacitors; Circuits; Delay; Finite impulse response filter; Information processing; Least squares approximation; Signal processing; Wiener filter;
Conference_Titel :
Circuits and Systems, 1990., IEEE International Symposium on
Conference_Location :
New Orleans, LA
DOI :
10.1109/ISCAS.1990.112314
