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使用“Z”形传感器簇对各向异性板中的声源进行定位。

Acoustic source localization in anisotropic plates with "Z" shaped sensor clusters.

作者信息

Yin Shenxin, Cui Zhiwen, Kundu Tribikram

机构信息

Dept. of Acoustics and Microwave Physics, College of Physics, Jilin University, Changchun 130012, China.

Dept. of Civil Engineering and Engineering Mechanics, University of Arizona, Tucson, AZ 85721, USA.

出版信息

Ultrasonics. 2018 Mar;84:34-37. doi: 10.1016/j.ultras.2017.10.007. Epub 2017 Oct 10.

DOI:10.1016/j.ultras.2017.10.007
PMID:29073485
Abstract

A new sensor cluster orientation is proposed to localize an acoustic source in a plate from the time difference of arrival (TDOA) with the help of only four to eight sensors. This technique requires neither a priori knowledge of the plate material properties nor a dense array of sensors to localize the acoustic source in isotropic as well as anisotropic plates. It is achieved by placing four sensors in a cluster in the shape of letter "Z" over a small region of the plate and a second Z-shaped cluster at another location of the plate. Experimental results show that it is possible to accurately localize the acoustic source with this new configuration. It reduces the number of sensors required for acoustic source localization in an anisotropic plate. Although one cluster in principle is capable of localizing the acoustic source in absence of any experimental error for accurate source localization in presence of experimental error two such Z-shaped clusters are needed. In the currently available technique three L-shaped clusters having a total of 9 sensors are needed to achieve the same level of confidence in the acoustic source localization. Thus, the proposed new technique reduces the number of sensors by 1 (from 9 to 8) for confidently and accurately predicting the acoustic source.

摘要

提出了一种新的传感器簇方向,以便仅借助四到八个传感器,根据到达时间差(TDOA)在平板中对声源进行定位。该技术既不需要预先了解平板材料特性,也不需要密集的传感器阵列来在各向同性以及各向异性平板中对声源进行定位。这是通过在平板的一个小区域内将四个传感器以字母“Z”的形状放置成一个簇,并在平板的另一个位置放置第二个Z形簇来实现的。实验结果表明,采用这种新配置能够准确地对声源进行定位。它减少了在各向异性平板中进行声源定位所需的传感器数量。虽然原则上一个簇能够在没有任何实验误差的情况下对声源进行定位,但为了在存在实验误差时准确地对声源进行定位,则需要两个这样的Z形簇。在当前可用的技术中,需要三个总共包含9个传感器的L形簇才能在声源定位方面达到相同的置信水平。因此,所提出的新技术将传感器数量减少了1个(从9个减少到8个),以便可靠且准确地预测声源。

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