压缩波束形成声源识别的改进研究

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Abstract Compressive beamforming acoustic source identification algorithm receives much attention due to its high spatial resolution and strong side-lobe attenuation ability.The conventional method directly minimizes the l-norm of the acoustic source distribution vector to reconstruct the acoustic source distribution.There is a certain deviation between the reconstructed acoustic source distribution and the actual one to make acoustic sources not be directly and accurately quantified.To solve this problem, an iterative reweighted l-norm minimization method was proposed.With it, the acoustic source distribution was solved iteratively.The acoustic source distribution vector was weighted in per iteration.Simulation and test results demonstrated that the proposed method can effectively reduce the reconstruction deviation of the conventional method, and directly and correctly quantify the acoustic source intensity with main-lobe peaks; it has higher spatial resolution and stronger side-lobe attenuation ability.

Key words： acoustic source identification compressive beamforming improvement iterative reweighed -norm minimization

Received: 15 June 2017 Published: 28 December 2018

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	Articles by authors
	ZHANG Jinyuan1
	YANG Yang1
	CHU Zhigang2

Cite this article:

ZHANG Jinyuan1,YANG Yang1,CHU Zhigang2. Improvement of compressive beamforming acoustic source identification[J]. JOURNAL OF VIBRATION AND SHOCK, 2019, 38(1): 195-199.

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http://jvs.sjtu.edu.cn/EN/ OR http://jvs.sjtu.edu.cn/EN/Y2019/V38/I1/195

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