A family of adaptive filtering algorithms based on the variable step size

  • Islam Hassani Signal Processing and Image Laboratory (LATSI), Department of electronics, University of Blida 1, Route of Soumaa B.P. 270, Blida 09000, Algeria
  • Rédha Bendoumia Detection Information and Communication Laboratory (DIC), Department of electronics, University of Blida 1, Route of Soumaa B.P. 270, Blida 09000, Algeria
Keywords: Adaptive filtering NLMS Variable Step Size Acoustic Echo Cancellation

Abstract

In this paper, we present the most used adaptive filtering algorithms such as Least Mean Square (LMS) and its normalized version NLMS with their advantages and drawbacks, and then show how the Variable Step Size (VSS) algorithms have been proposed to slove problems coming from the fixed step size. Series of simulations have been carried out under different effects such as: the size of the adaptive filter and different values of step size to validate the good behaviour of the four presented VSS based algorithms over the classical adaptive filtering algorithms with fixed step size. Also, results have confirmed the superiority of VSS based algorithms in terms of convergence speed with almost identical computational complexity

Published
2021-12-15
How to Cite
HassaniI., & BendoumiaR. (2021). A family of adaptive filtering algorithms based on the variable step size. Algerian Journal of Renewable Energy and Sustainable Development, 3(02), 175-189. https://doi.org/10.46657/ajresd.2021.3.2.7
Section
Articles