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提高各向异性板中声源远定位的准确性。

Improving accuracy of acoustic source localization in anisotropic plates.

机构信息

Department of Mechanical & Physical Engineering, Graduate School of Engineering, Osaka City University, 558-8585 Osaka, Japan.

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

出版信息

Ultrasonics. 2014 Sep;54(7):1776-88. doi: 10.1016/j.ultras.2014.03.001. Epub 2014 Mar 17.

Abstract

The acoustic source localization technique for anisotropic plates proposed by the authors in an earlier publication ([1] Kundu et al., 2012) is improved in this paper by adopting some modifications. The improvements are experimentally verified on anisotropic flat and curved composite plates. Difficulties associated with the original technique were first investigated before making any modification. It was noted that the accuracy of this technique depends strongly on the accuracy of the measured time difference of arrivals (TDOA) at different receiving sensors placed in close proximity in a sensor cluster. The sensor cluster is needed to obtain the direction of the acoustic source without knowing the material properties of the plate. Two modifications are proposed to obtain the accurate TDOA. The first one is to replace the recorded full time histories by only their initial parts - the first dip and peak - for the subsequent signal processing. The second modification is to place the sensors in the sensor cluster as close as possible. It is shown that the predictions are improved significantly with these modifications. These modifications are then applied to another sensor cluster based technique called the beamforming technique, to see if similar improvements are achieved for that technique also with these modifications.

摘要

作者在早期发表的一篇论文中提出了一种各向异性板声源定位技术([1]Kundu 等人,2012 年),本文对该技术进行了改进,采用了一些改进措施。这些改进在各向异性平板和曲面复合材料板上进行了实验验证。在进行任何修改之前,首先研究了原始技术的难点。结果表明,该技术的准确性强烈依赖于在传感器簇中紧密放置的不同接收传感器测量的到达时间差(TDOA)的准确性。传感器簇用于在不知道板的材料特性的情况下获得声源的方向。提出了两种改进方法来获得准确的 TDOA。第一种方法是仅对记录的完整时间历史进行初始部分(第一个波谷和波峰)的替换,以便进行后续的信号处理。第二种修改方法是尽可能将传感器放置在传感器簇中。结果表明,这些改进显著提高了预测精度。然后将这些改进应用于另一种基于传感器簇的技术,即波束形成技术,以确定对于该技术,这些改进是否也能获得类似的改进。

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