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Active control for vehicle interior noise using the improved iterative variable step-size and variable tap-length LMS algorithms

  • Ningning Liu [1] ; Yuedong Sun [1] ; Yansong Wang [1] ; Hui Guo [1] ; Bin Gao [1] ; Tianpei Feng [1] ; Pei Sun [1]
    1. [1] University of Shanghai
  • Localización: Noise Control Engineering Journal, ISSN 0736-2501, Vol. 67, Nº. 6, 2019, págs. 407-414
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • Active noise control (ANC) is used to reduce undesirable noise, particularly at low frequencies. There are many algorithms based on the least mean square (LMS) algorithm, such as the filtered-x LMS (FxLMS) algorithm, which have been widely used for ANC systems. However, the LMS algorithm cannot balance convergence speed and steady-state error due to the fixed step size and tap length. Accordingly, in this article, two improved LMS algorithms, namely, the iterative variable step-size LMS (IVS-LMS) and the variable tap-length LMS (VT-LMS), are proposed for active vehicle interior noise control. The interior noises of a sample vehicle are measured and thereby their frequency characteristics. Results show that the sound energy of noise is concentrated within a low-frequency range below 1000 Hz. The classical LMS, IVS-LMS and VT-LMS algorithms are applied to the measured noise signals. Results further suggest that the IVS-LMS and VT-LMS algorithms can better improve algorithmic performance for convergence speed and steady-state error compared with the classical LMS. The proposed algorithms could potentially be incorporated into other LMS-based algorithms (like the FxLMS) used in ANC systems for improving the ride comfort of a vehicle.


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