A Novel Time-Shared and LUT-Less Pipelined Architecture for LMS Adaptive Filter

Ranendra Kumar Sarma, Mohd. Tasleem Khan*, Rafi Ahamed Shaik, Jinti Hazarika

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)

Abstract

This article presents a novel time-shared and lookup table (LUT)-less pipelined architecture for a least-mean-square (LMS) adaptive filter (ADF). The proposed approach first employs a time-shared architecture for the pipelined LMS ADF to compute each filter partial product and coefficient increment term using a single multiplier. Critical path analysis of this architecture is carried out to determine the pipeline requirements. Next, a novel LUT-less multiplier is suggested by exploiting the symmetries between the odd-multiples. Due to the symmetries between the odd-multiples, offset terms are added using an adder tree. For higher wordlength coefficients, only a few adders are required to generate the odd-multiples, and only one offset adder tree is required. Finally, a novel super-latch is developed to pipeline the LUT-less multiplier with adaptation delays of the pipelined LMS ADF. From the implementation results, it is found that the proposed design for the 32nd-order filter occupies 60.32% less area, consumes 61.93% less power, and utilizes 58.83% less sliced LUTs and 63.28% fewer flip-flops over the best existing design.
Original languageEnglish
Pages (from-to)188-197
Number of pages10
JournalIEEE Transactions on Very Large Scale Integration (VLSI) Systems
Volume28
Issue number1
DOIs
Publication statusPublished - Jan 2020

Keywords

  • Adaptive filter (ADF)
  • finite impulse response (FIR)
  • least mean square (LMS)
  • delays
  • Finite impulse response filters
  • adders
  • Table lookup
  • pipelines
  • complexity theory

ASJC Scopus subject areas

  • Software
  • Hardware and Architecture
  • Electrical and Electronic Engineering

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