Clear imaging beamforming method for the noise source identification in car cabin

Yuping  Wan; Jinfeng  Xia; Liang  Yang; Yang  Yang; Zhigang  Chu

doi:10.59400/sv1839

Yuping Wan State Key Laboratory of Intelligent Vehicle Safety Technology, Chongqing ChangAn Automobile Co., Ltd., Chongqing 401133, China
Jinfeng Xia State Key Laboratory of Intelligent Vehicle Safety Technology, Chongqing ChangAn Automobile Co., Ltd., Chongqing 401133, China
Liang Yang State Key Laboratory of Intelligent Vehicle Safety Technology, Chongqing ChangAn Automobile Co., Ltd., Chongqing 401133, China
Yang Yang Chongqing Automotive Power System Testing Engineering Technology Research Center, School of Vehicles Engineering, Chongqing Industry Polytechnic College, Chongqing 401120, China
Zhigang Chu College of Mechanical and Vehicle Engineering, Chongqing University, Chongqing 400044, China

Article ID: 1839

Keywords: noise control in car cabin; noise source identification; beamforming; spherical microphone array; clear imaging

Abstract

Noise in car cabin has a close relationship with ride comfort and noise control plays a key role in automobile product design. The prerequisite of noise control is to accurately identify noise sources. Due to the advantages of recording comprehensive sound field information and achieving panoramic source identification, beamforming with spherical microphone array is suitable for interior sound source identification. However, classic spherical harmonics beamforming (SHB) and filter and sum (FAS) suffer from wide mainlobes and serious sidelobe contamination. This paper proposes clear imaging beamforming method, which repeatedly removes the independent contribution of each source from SHB output based on coherence between sidelobe and mainlobe to improve imaging clarity. Simulations and experiments demonstrate that the proposed method has much clearer imaging than SHB and FAS, and could effectively identify the noise sources in car cabin.

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