A pipelined LMS adaptive FIR filter architecture without adaptation delay

Author

Douglas, Scott C. ; Zhu, Quanhong ; Smith, Kent F.

Author_Institution

Dept. of Electr. Eng., Utah Univ., Salt Lake City, UT, USA

Volume

46

Issue

3

fYear

1998

fDate

3/1/1998 12:00:00 AM

Firstpage

775

Lastpage

779

Abstract

Past methods for mapping the least-mean-square (LMS) adaptive finite-impulse-response (FIR) filter onto parallel and pipelined architectures either introduce delays in the coefficient updates or have excessive hardware requirements. We describe a hardware-efficient pipelined architecture for the LMS adaptive FIR filter that produces the same output and error signals as would be produced by the standard LMS adaptive filter architecture without adaptation delays. Unlike existing architectures for delayless LMS adaptation, the new architecture´s throughput is independent of the filter length

Keywords

FIR filters; adaptive filters; adaptive signal processing; digital filters; least mean squares methods; pipeline processing; coefficient updates; delayless LMS adaptation; error signals; filter length; finite-impulse-response; hardware-efficient pipelined architecture; least-mean-square; output signals; parallel architecture; pipelined LMS adaptive FIR filter architecture; standard LMS adaptive filter architecture; throughput; Adaptive filters; Computer architecture; Concurrent computing; Delay; Finite impulse response filter; Hardware; Least squares approximation; Performance loss; Signal processing algorithms; Signal synthesis;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.661345

Filename

661345