Sound source identification method based on constrained L 1/2 norm sparse regularization

PAN Wei1,2,LI Yuanwen2,3,FENG Daofang1,2,LI Min1,2

Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (2) : 166-178.

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PDF(3772 KB)
Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (2) : 166-178.

Sound source identification method based on constrained L 1/2 norm sparse regularization

  • PAN Wei1,2,LI Yuanwen2,3,FENG Daofang1,2,LI Min1,2
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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

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PAN Wei1,2,LI Yuanwen2,3,FENG Daofang1,2,LI Min1,2. 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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