A robust normalized variable tap-length normalized fractional LMS algorithm

Muhammad Tahir Akhtar, Shakeel Ahmed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In system identification, the selection of the optimum taplength of an adaptive filter is desirable to balance the conflicting requirements of computational cost and the steady-state performance. The performance of the original fractional tap-length least-mean-square LMS (FT-LMS) algorithm is severely degraded with a change in the variance of the input excitation signal, as well as with a change in the variance of the tap-coefficients of the unknown system. In this paper, a normalized LMS style variable tap-length (VTL) algorithm is proposed. The main idea is to efficiently normalize the step-size in the update equation for the tap-length. Furthermore, the idea of fractional gradient is incorporated with the weight-update equation of the adaptive filter. Extensive computer simulations are carried out, which demonstrate that the proposed algorithm gives robust performance in the time-varying environment.

Original languageEnglish
Title of host publication2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509009169
ISBN (Print)9781509009169
DOIs
Publication statusPublished - Mar 2 2017
Event59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016 - Abu Dhabi, United Arab Emirates
Duration: Oct 16 2016Oct 19 2016

Publication series

NameMidwest Symposium on Circuits and Systems

Conference

Conference59th IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2016
CountryUnited Arab Emirates
CityAbu Dhabi
Period10/16/1610/19/16

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'A robust normalized variable tap-length normalized fractional LMS algorithm'. Together they form a unique fingerprint.

  • Cite this

    Akhtar, M. T., & Ahmed, S. (2017). A robust normalized variable tap-length normalized fractional LMS algorithm. In 2016 IEEE 59th International Midwest Symposium on Circuits and Systems, MWSCAS 2016 [7870146] (Midwest Symposium on Circuits and Systems). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MWSCAS.2016.7870146