High-precision identification and localization of noise sources based on acoustic metamaterials

Abstract

Noise pollution may induce physiological diseases. Acoustic modulation can be carried out by accurately identifying and localizing noise sources to achieve noise control. In this paper, a hyperbolic acoustic metamaterial configuration for high-precision identification and localization of noise sources is designed. The effect of hyperlens thickness on focusing imaging is analyzed with finite element analysis software. Based on the acoustic eight-layer lens configuration, the influence of the distance between the point sound source and the hyperlens on the far-field recognition resolution is studied. The acoustic metamaterials designed in this paper can flexibly modulate sound waves and effectively amplify the propagation information of swift waves. Combined with the phase conjugate method in the middle and far fields can realize the breakthrough of the Rayleigh diffraction limit problem in sound source identification. After verification, the experimental results of this paper break through the 0.5 λ acoustic wave diffraction limit under 10 working conditions. So the configuration designed in this paper has high engineering practical value and good application prospects in noise source identification and localization. At the same time, the findings of this paper will also provide novel ideas for underwater target detection on a certain spatial scale.