Low-power adaptive filter based on RNS components

Gian Luca Bernocchi, Gian Carlo Cardarilli, Andrea Del Re, Alberto Nannarelli, Marco Re

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review


    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 communications 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.
    Original languageEnglish
    Title of host publicationProc. of 2007 IEEE International Symposium on Circuits and Systems (ISCAS)
    Publication date2007
    ISBN (Print)1-4244-0920-9
    Publication statusPublished - 2007
    Event2007 IEEE International Symposium on Circuits and Systems - New Orleans, United States
    Duration: 27 May 200730 May 2007


    Conference2007 IEEE International Symposium on Circuits and Systems
    Country/TerritoryUnited States
    CityNew Orleans
    Internet address


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