A Robust RLS Implementation of the ANC Block in GSC Structures

Anna Barnov, Alex Gendelman, Amos Schreibman, Eli Tzirkel-Hancock, Sharon Gannot

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations


Adaptive beamforming, and the minimum variance distortionless response (MVDR) beamformer in particular, is widely used in speech enhancement applications. We consider the enhancement of a single desired speaker in a vehicle (e.g. the driver), in road noise environment. For our problem of a fixed look direction and continuous noise tracking, the generalized sidelobe canceler (GSC) decomposition was shown to be computationally efficient for the implementation of the MVDR criterion. To address robustness issues that arise due to array imperfection, the projected least mean squares (LMS) algorithm, commonly adopted for the adaptive noise canceler (ANC) block realization, was shown to be effective. Here, due to the high dynamics of vehicle road and cabin noises, we propose utilizing a recursive least squares (RLS) flavor algorithm for the realization of the ANC block. To address the robustness issue, we introduce the Modified RLS algorithm. The Modified RLS converges to the required amount of diagonal loading which is associated with the array immunity to imperfection. The proposed diagonal loading algorithm can be easily employed in any diagonal loading problems utilizing RLS based adaptive filtering (AF). We present its operation considering audio signals recorded in a vehicle, demonstrating the way artifacts are mitigated when applied.

Original languageEnglish
Title of host publication29th European Signal Processing Conference, EUSIPCO 2021 - Proceedings
PublisherEuropean Signal Processing Conference, EUSIPCO
Number of pages5
ISBN (Electronic)9789082797060
StatePublished - 2021
Event29th European Signal Processing Conference, EUSIPCO 2021 - Dublin, Ireland
Duration: 23 Aug 202127 Aug 2021

Publication series

NameEuropean Signal Processing Conference
ISSN (Print)2219-5491


Conference29th European Signal Processing Conference, EUSIPCO 2021

Bibliographical note

Publisher Copyright:
© 2021 European Signal Processing Conference. All rights reserved.


  • Acoustics
  • Beamforming
  • Diagonal loading
  • Robustness


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