A variable step size affine projection algorithm based on the principle of orthogonality

Khuram Naveed, Bakhtiar Ali, Muhammad Tahir Akhtar

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

1 Citation (Scopus)

Abstract

The orthogonality principle states that as an adaptive filter approaches to the Weiner solution and error approaches to its minimum value, the correlation between error and input signal approaches to zero. This fact has been exploited in the proposed scheme for the minimizing mean square deviation (MSD) for the tap weights and its estimated value at each iteration. Essentially, this paper proposes a variable step-size (VSS) affine projection algorithm (APA) where step-size is varied on the basis of instantaneous cross correlation of error and input signal along with the error power and estimated noise variance. The main advantage of the proposed method is that it does not need an initial tuning parameter of fixed step-size to kick-off VSS calculations unlike most VSS APAs. The simulation results show that the proposed algorithm has fast convergence and small steady state error than the existing VSS APAs.

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
DOIs
Publication statusPublished - Mar 2 2017
Externally publishedYes
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
Volume0
ISSN (Print)1548-3746

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

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