In this paper a low-power implementation of an adaptive FIR filter is presented. The filter is designed to meet the constraints of channel equalization for fixed wireless comunications that typically requires a large number of taps, but a serial updating of the filter coefficients, based on the Least Mean Squares (LMS) algorithm, is allowed. Previous work showed that the use of the Residue Number System (RNS) for the variable FIR filter grants advantages both in area and power consumption. On the other hand, the use of a binary serial implementation of the adaptation algorithm eliminates the need for complex scaling circuits in RNS. The advantages in terms of area and speed of the presented filter, with respect to its two's complement counterpart, are evaluated for implementations in standard cells. © 2007 IEEE.
Bernocchi, G.l., Cardarilli, G.c., Del Re, A., Nannarell, A., Re, M. (2007). Low-power adaptive filter based on RNS components. In Proceedings - IEEE International Symposium on Circuits and Systems (pp.3211-3214). 345 E 47TH ST, NEW YORK, NY 10017 USA : Institute of Electrical and Electronics Engineers Inc. [10.1109/iscas.2007.378155].
Low-power adaptive filter based on RNS components
Cardarilli G. C.;Del Re A.;Re M.
2007-01-01
Abstract
In this paper a low-power implementation of an adaptive FIR filter is presented. The filter is designed to meet the constraints of channel equalization for fixed wireless comunications that typically requires a large number of taps, but a serial updating of the filter coefficients, based on the Least Mean Squares (LMS) algorithm, is allowed. Previous work showed that the use of the Residue Number System (RNS) for the variable FIR filter grants advantages both in area and power consumption. On the other hand, the use of a binary serial implementation of the adaptation algorithm eliminates the need for complex scaling circuits in RNS. The advantages in terms of area and speed of the presented filter, with respect to its two's complement counterpart, are evaluated for implementations in standard cells. © 2007 IEEE.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
