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Wideband holography based spherical equivalent source method with rigid spherical arrays

机译:刚性球面阵列的基于宽带全息的球面等效源方法

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摘要

Spherical equivalent source method (S-ESM) with rigid spherical arrays is able to achieve good sound field reconstruction and acoustic source identification in three-dimensional free-field spaces. However, the S-ESM solved by the standard Tikhonov regularization is restricted to the low-frequency reconstruction and source identification at small measurement distances. To make S-ESM achieve good reconstruction and source identification at high frequencies and large hologram distances, this study proposes a sparsity-promoting approach denoted as wideband holography based S-ESM (WBH-based S-ESM), which applies a steepest descent method to iteratively solve S-ESM. Firstly, the framework of WBH-based S-ESM is established. Subsequently, to examine its validity, the performance of reconstruction and source identification is compared with Tikhonov regularization. Finally, a focus is concerned with the adaptability to large hologram distances. Several meaningful results have emerged from simulations and experiments: (1) WBH-based S-ESM can make good sound field reconstruction and acoustic source identification at medium-high frequencies. It extends the upper frequency limit of S-ESM. (2) The maximum hologram distance of WBH-based S-ESM at high frequencies is greater than that of Tikhonov regularization. It enlarges the measurement distance of S-ESM. This study will demonstrate the potential of WBH-based S-ESM as a useful tool for reconstruction and source identification.
机译:具有刚性球面阵列的球面等效源方法(S-ESM)能够在三维自由场空间中实现良好的声场重建和声源识别。但是,通过标准的Tikhonov正则化解决的S-ESM仅限于低频重建和小距离测量时的信号源识别。为了使S-ESM在高频和大全息图距离下实现良好的重建和信号源识别,本研究提出了一种稀疏促进方法,称为基于宽带全息的S-ESM(基于WBH的S-ESM),它采用了最陡的下降方法迭代解决S-ESM。首先,建立了基于WBH的S-ESM框架。随后,为了检验其有效性,将重建和源识别的性能与Tikhonov正则化进行了比较。最后,关注点在于对大全息图距离的适应性。从仿真和实验中得出了一些有意义的结果:(1)基于WBH的S-ESM可以在中高频实现良好的声场重建和声源识别。它扩展了S-ESM的上限频率。 (2)高频下基于WBH的S-ESM的最大全息距离大于Tikhonov正则化。它扩大了S-ESM的测量距离。这项研究将证明基于WBH的S-ESM作为重建和来源识别的有用工具的潜力。

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