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双层速度换能器阵(L)的声场分离。

Sound field separation with a double layer velocity transducer array (L).

机构信息

Acoustic Technology, Department of Electrical Engineering, DTU Technical University of Denmark, Building 352, Oersteds Plads, DK-2800 Kongens Lyngby, Denmark.

出版信息

J Acoust Soc Am. 2011 Jul;130(1):5-8. doi: 10.1121/1.3598431.

DOI:10.1121/1.3598431
PMID:21786871
Abstract

In near-field acoustic holography sound field separation techniques make it possible to distinguish between sound coming from the two sides of the array. This is useful in cases where the sources are not confined to only one side of the array, e.g., in the presence of additional sources or reflections from the other side. This paper examines a separation technique based on measurement of the particle velocity in two closely spaced parallel planes. The purpose of the technique is to recover the particle velocity radiated by a source in the presence of disturbing sound from the opposite side of the array. The technique has been examined and compared with direct velocity based reconstruction, as well as with a technique based on the measurement of the sound pressure and particle velocity. The double layer velocity method circumvents some of the drawbacks of the pressure-velocity based reconstruction, and it can successfully recover the normal velocity radiated by the source, even in the presence of strong disturbing sound.

摘要

在近场声全息中,声场分离技术使得区分来自阵列两侧的声音成为可能。在声源不仅局限于阵列一侧的情况下,例如存在来自另一侧的附加声源或反射的情况下,这是非常有用的。本文研究了一种基于在两个紧密间隔的平行平面上测量质点速度的分离技术。该技术的目的是在存在来自阵列另一侧的干扰声音的情况下,恢复源辐射的质点速度。已经对该技术进行了检查,并与直接基于速度的重建技术以及基于测量声压和质点速度的技术进行了比较。双层速度法规避了基于压力-速度重建的一些缺点,即使在存在强干扰声音的情况下,它也可以成功地恢复源辐射的法向速度。

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引用本文的文献

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Half-Space Sound Field Reconstruction Based on the Combination of the Helmholtz Equation Least-Squares Method and Equivalent Source Method.基于亥姆霍兹方程最小二乘法与等效源法相结合的半空间声场重建
Sensors (Basel). 2024 Jul 17;24(14):4651. doi: 10.3390/s24144651.
2
Sound field separation with cross measurement surfaces.声场分离的交叉测量面。
PLoS One. 2018 Jun 6;13(6):e0196837. doi: 10.1371/journal.pone.0196837. eCollection 2018.