雨刮-风窗摩擦噪声声品质主动控制自适应均衡算法

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Abstract Wiper-windshield friction noise is one of the important factors affecting the vehicle interior sound quality, so it is beneficial for improving the interior acoustic environment by active sound quality control. A Weight Constrained Adaptive Noise Equalizer algorithm based on Ensemble Empirical Mode Decomposition (EWCANE) is proposed to control the wiper-windshield friction noise sound quality actively. Firstly, the EEMD method is used to decompose the wiper-windshield friction noise to obtain the lower non-stationary intrinsic mode function components, and the variance ratio of each component is calculated to characterize the degree of influence of each component on the noise. Then, the filter weight is adaptively constrained to reduce the transient shock characteristics of the noise through the Euclidean norm of the input signal and error signal. Finally, the sound gain factors are adjusted according to the variance ratios to balance the active control of sound quality for each component. The simulation results show that this method can significantly reduce the loudness value in the wiper-windshield friction noise signal of an actual vehicle and improve its sound quality.

Key words： wiper-windshield active sound quality control;ensemble empirical mode decomposition(EEMD) adaptive noise equalizer(ANE) algorithm

Received: 08 June 2023 Published: 28 April 2024

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	Articles by authors
	FAN Huizhi1
	GUO Hui1
	FENG Qingbao2
	SUN Pei1
	WANG Yansong1
	LU Zhonghui3

Cite this article:

FAN Huizhi1,GUO Hui1,FENG Qingbao2, et al. An adaptive equalization algorithm for active sound quality control of wiper-windshield friction noise[J]. JOURNAL OF VIBRATION AND SHOCK, 2024, 43(8): 263-271.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2024/V43/I8/263

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