A New Robust Adaptive Algorithm for Second Order Blind Source Separation

Authors

  • Zineb Bekhtaoui University of sciences and technologies of Oran-Mohamed Bodiaf USTO-MB
  • Karim Abed-Meraim IUF Member, PRISME Lab., University of Orleans, France
  • Abdelkrim Meche University of sciences and technologies of Oran-Mohamed Bodiaf USTO-MB
  • Messaoud Thameri Ecole Supérieure Ali Chabati, Reghaia, Algiers

DOI:

https://doi.org/10.53907/enpesj.v2i1.86

Keywords:

Blind source separation, Adaptive algorithm, Impulsive noise, Robustness, Subspace tracking

Abstract

This paper deals with the adaptive blind source separation problem in presence of impulsive noise. New algorithms extending the well known SOBI method from batch to adaptive scheme are introduced. At first, the standard Gaussian noise case is considered, leading to our first algorithm referred to as Adaptive SOBI (A-SOBI). Later on, a robust version of A-SOBI, referred to as RA-SOBI is derived to handle the impulsive noise case. RA-SOBI relies on robust subspace tracking for the whitening stage together with robust correlation estimation for the separation stage. All proposed algorithms are of relatively low complexity and allow to achieve good separation quality as illustrated by our simulation results.

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Published

2022-07-29