Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ISCAS.2007.378155 | 2007 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-11 |
Keywords | Field | DocType |
circuits,phase distortion,fir filter,low power electronics,least mean squares,radio frequency,fir filters,adaptive filters,adaptive filter,matched filters,wireless communication,residue number system,least mean square,lms algorithm,finite impulse response filter,channel equalization,least squares approximation | Least mean squares filter,Root-raised-cosine filter,Computer science,Control theory,Electronic engineering,Kernel adaptive filter,Adaptive filter,Multidelay block frequency domain adaptive filter,Voltage-controlled filter,Recursive least squares filter,Filter design | Conference |
ISSN | Citations | PageRank |
0271-4302 | 19 | 0.91 |
References | Authors | |
5 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| G. L. Bernocchi | 1 | 19 | 0.91 |
| Gian-carlo Cardarilli | 2 | 110 | 20.75 |
| Andrea Del Re | 3 | 30 | 2.83 |
| Alberto Nannarelli | 4 | 190 | 20.41 |
| Marco Re | 5 | 194 | 35.03 |