Abstract

Active noise control can be used to reduce the scattered sound of a reflecting object to make it invisible to incident acoustic waves. For the multi-zone active noise control of scattered sound from an infinite rigid cylinder, an active control strategy is proposed that combines the least absolute shrinkage and selection operator (LASSO) algorithm with constraint points and regularized least squares (RLS) algorithm. The proposed control strategy is used to promote control performance through optimizing the secondary loudspeaker placement of an active noise control system. Compared with the RLS algorithm employing the uniformly placed loudspeakers and the traditional LASSO algorithm, the proposed strategy has better reduction performance both in the forward-scattered and backward-scattered sound target areas, and there is less sound amplification in the far field. From 400 Hz–1100 Hz, the proposed strategy provides a 5 dB–16 dB reduction performance advantage in the target area compared to the RLS algorithm employing uniformly placed loudspeakers.

Highlights

  • The active noise control (ANC) technique is based on the principle of superposition to cancel the primary noise by generating anti-noise with the same amplitude, but opposite phase as the primary noise [1,2,3]

  • An active control strategy combining the least absolute shrinkage and selection operator (LASSO) algorithm with constraint points and the regularized least squares (RLS) algorithm is proposed in this paper

  • For the multi-zone active noise control of scattered sound from infinite rigid cylinders, an active control strategy combining the LASSO algorithm with constraint points and the RLS algorithm is proposed in this paper

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Summary

Introduction

The active noise control (ANC) technique is based on the principle of superposition to cancel the primary noise by generating anti-noise with the same amplitude, but opposite phase as the primary noise [1,2,3]. These methods have not been applied to the multi-zone active noise control of scattered sound from an infinite rigid cylinder and have ignored the issue of sound amplification in the far field To solve these problems, an active control strategy combining the LASSO algorithm with constraint points and the RLS algorithm is proposed in this paper. Compared to the RLS algorithm with uniformly placed secondary loudspeakers and the previous LASSO algorithm, the new method has greater noise reduction in the forward-scattered as well as backward-scattered target area, and there is no significant sound amplification in the far field. The CLASSO-RLS algorithm ensures a relatively large noise reduction in the target area as well as at the constraint points when selecting the sparse penalty parameter γCLASSO. Step 4: Let NRc0 = max(NRc_γa ); the γa corresponding to the maximum constraint point noise reduction NRc0 is selected as the final sparse penalty parameter γCLASSO.

Simulation Results and Discussion
Simulation Parameter Setting and Criteria of the Control Performance
Simulation Results of the Control Performance for Each Method at 700 Hz
Simulation Results of the Control Perormance in Far Field for Each Method
Conclusions
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