Extension of sound field separation technique based on the equivalent source method in a sparsity framework
Extension of sound field separation technique based on the equivalent source method in a sparsity framework
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稀疏框架下基于等效源法的声场分离技术的扩展
DOI：
10.1016/j.jsv.2018.10.050
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发表时间：
2019-03-03
影响因子：
4.7
通讯作者：
Xu, Liang
中科院分区：
文献类型：
--
作者：
Bi, Chuan-Xing;Liu, Yuan;Xu, Liang
基于等效源法的声场分离技术已被成功地引入到近场声全息中作为预处理工具，以消除来自阵列对侧的干扰源或反射的影响。在本文中，该技术是进一步扩展的稀疏性框架，这使得有可能利用压缩感知理论的优势，实现合理的分离精度与有限数量的空间采样点。在这项研究中，考虑了三个稀疏基，包括两个现有的基，分别适用于空间稀疏和空间扩展的源，和一个更灵活的，冗余的稀疏基，通过结合上述两个稀疏基，l（1）-范数最小化被用来促进稀疏解决方案。数值仿真和实验结果验证了该方法的有效性，并显示了冗余稀疏基的优越性。数值分析了目标源与干扰源的相对强度、空间采样点数和信噪比对分离精度的影响。(C)2018爱思唯尔有限公司版权所有
The equivalent source method (ESM)-based sound field separation technique has been successfully introduced into near-field acoustic holography as a preprocessing tool to eliminate the influence of disturbing sources or reflections from the opposite side of the array. In this paper, that technique is further extended in a sparsity framework, which makes it possible to take the advantage of the theory of compressive sensing to achieve reasonable separation accuracy with a limited number of spatial sampling points. In this study, three sparse bases are considered, including two existing bases that are suitable for spatially sparse and spatially extended sources, respectively, and a more flexible, redundant sparse basis that is constructed by combining the two sparse bases above, and the l(1) - norm minimization is used to promote sparse solutions. Numerical simulation and experimental results demonstrate the validity of the proposed technique and show the superiority of the use of the redundant sparse basis. Besides, the effects of the relative strength of the target source to the disturbing source, the number of spatial sampling points and the signal-to-noise ratio on the separation accuracy are analyzed numerically. (C) 2018 Elsevier Ltd. All rights reserved.