基于有约束L1/2范数稀疏正则化的声源识别方法

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Abstract Near field acoustic holography (NAH) based on equivalent source method (ESM) is an effective technology for sound source identification. However, for the identification of spatially sparse sound sources, the traditional ESM methods based on L2-norm and L1-norm have some problems, such as insufficient estimation of sound source amplitude or poor stability of the algorithm. Therefore, a sound source recognition method based on constrained L1/2-norm sparse regularization is proposed. This method has the advantages of strong sparsity and strong anti-interference, which can identify the sound sources more accurately than traditional methods. The numerical simulation experiments and ordinary indoor measured experiments demonstrated the validity of the proposed method.

Key words： sound source identification equivalent source method constrained L1/2-norm sparse regularization

Received: 12 August 2022 Published: 28 January 2024

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	Articles by authors
	PAN Wei1
	2
	LI Yuanwen2
	3
	FENG Daofang1
	2
	LI Min1
	2

Cite this article:

PAN Wei1,2,LI Yuanwen2, et al. Sound source identification method based on constrained L 1/2 norm sparse regularization[J]. JOURNAL OF VIBRATION AND SHOCK, 2024, 43(2): 166-178.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2024/V43/I2/166

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