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Vindrola L, Melon M, Chamard JC, et al. Use of the filtered-x least-mean-squares algorithm to adapt personal sound zones in a car cabin. J Acoust Soc Am. 2021;150(3):1779doi: 10.1121/10.0005875.
Vindrola, L., Melon, M., Chamard, J. C., & Gazengel, B. (2021). Use of the filtered-x least-mean-squares algorithm to adapt personal sound zones in a car cabin. The Journal of the Acoustical Society of America, 150(3), 1779. https://doi.org/10.1121/10.0005875
Vindrola, Lucas, et al. "Use of the filtered-x least-mean-squares algorithm to adapt personal sound zones in a car cabin." The Journal of the Acoustical Society of America vol. 150,3 (2021): 1779. doi: https://doi.org/10.1121/10.0005875
Vindrola L, Melon M, Chamard JC, Gazengel B. Use of the filtered-x least-mean-squares algorithm to adapt personal sound zones in a car cabin. J Acoust Soc Am. 2021 Sep;150(3):1779. doi: 10.1121/10.0005875. PMID: 34598616.
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J Acoust Soc Am. 2021 Sep;150(3):1779. doi: 10.1121/10.0005875.

Use of the filtered-x least-mean-squares algorithm to adapt personal sound zones in a car cabin.

The Journal of the Acoustical Society of America

Lucas Vindrola, Manuel Melon, Jean-Christophe Chamard, Bruno Gazengel

Affiliations

  1. Stellantis, Route de Gisy, 78943 Vélizy Villacoublay, France.
  2. Laboratoire d'Acoustique de l'Université du Mans, LAUM-UMR 6613 CNRS, Le Mans Université, Avenue Olivier Messiaen, 72085 Le Mans Cedex 9, France.

PMID: 34598616 DOI: 10.1121/10.0005875

Abstract

One of the main fields of application of personal sound zones (PSZs) is the car industry. PSZ systems are usually designed assuming that the acoustic environment is not changing. However, due to variability in the car cabin's acoustic conditions, it is necessary to design a system capable of adapting to these variations. This paper introduces the use of the filtered-x least-mean-squares algorithm to adapt a PSZ system in a car cabin when the seat positions change. The article focuses on four aspects. First, the effect of the initial coefficients is investigated to help with the convergence of the adaptive algorithm. Second, a study is made on the definition of the desired pressure and its effect on the reproduction. Third, the system's sensitivity to external noise is also evaluated. Last, the possibility to reduce the number of microphones for the adaptive system is considered. The method's performance is evaluated using a two headrest system installed in a car cabin and when moving the seats to different positions. It is shown that the system is capable of maintaining the performance in the different seat positions.

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