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Group delay based location template matching method for the identification of the impact location on a plate

机译:基于群时延的位置模板匹配方法用于识别板上的撞击位置

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摘要

The location template matching (LTM) method is occasionally used in the area of structural health monitoring and human-computer interface system when the location of impact on an object is needed to be identified. In general, the LTM method utilizes the cross-correlation (or the correlation coefficient) between two time signals, and its performance is influenced by many factors such as the spatial resolution of the pre-defined reference points, the frequency bandwidth of a signal and the length of data, etc. In addition, the correlation based LTM method often needs many sensors to improve the accuracy of identification. To overcome these disadvantages, a group delay based LTM method (namely G-LTM) is introduced in this paper. Particularly, the proposed method uses the group delay of a fictitious linear time-invariant system as a measure of similarity. The experimental results verify a high quality of the G-LTM method by maintaining 100% accuracy for all the different grid spacing while the accuracy of the correlation based LTM method decreases significantly as the grid spacing becomes smaller.
机译:当需要确定对物体的撞击位置时,位置模板匹配(LTM)方法偶尔用于结构健康监测和人机界面系统领域。通常,LTM方法利用两个时间信号之间的互相关(或相关系数),其性能受许多因素影响,例如预定义参考点的空间分辨率,信号的频率带宽和另外,基于相关的LTM方法通常需要许多传感器来提高识别的准确性。为了克服这些缺点,本文介绍了一种基于群时延的LTM方法(即G-LTM)。特别地,所提出的方法使用虚拟线性时不变系统的群时延作为相似性的量度。实验结果通过在所有不同的网格间距上保持100%的精度来验证G-LTM方法的高质量,而基于相关性的LTM方法的精度随着网格间距变小而显着降低。

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