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一种用于超声相控阵的稀疏线性阵列设计新方法。

A novel method to design sparse linear arrays for ultrasonic phased array.

作者信息

Yang Ping, Chen Bin, Shi Ke-Ren

机构信息

NDT Lab, Department of Mechanical Engineering, Tsinghua University, Beijing 100084, PR China.

出版信息

Ultrasonics. 2006 Dec 22;44 Suppl 1:e717-21. doi: 10.1016/j.ultras.2006.05.131. Epub 2006 Jun 6.

DOI:10.1016/j.ultras.2006.05.131
PMID:16806345
Abstract

In ultrasonic phased array testing, a sparse array can increase the resolution by enlarging the aperture without adding system complexity. Designing a sparse array involves choosing the best or a better configuration from a large number of candidate arrays. We firstly designed sparse arrays by using a genetic algorithm, but found that the arrays have poor performance and poor consistency. So, a method based on the Minimum Redundancy Linear Array was then adopted. Some elements are determined by the minimum-redundancy array firstly in order to ensure spatial resolution and then a genetic algorithm is used to optimize the remaining elements. Sparse arrays designed by this method have much better performance and consistency compared to the arrays designed only by a genetic algorithm. Both simulation and experiment confirm the effectiveness.

摘要

在超声相控阵检测中,稀疏阵列可以在不增加系统复杂性的情况下通过扩大孔径来提高分辨率。设计稀疏阵列需要从大量候选阵列中选择最佳或更好的配置。我们首先使用遗传算法设计稀疏阵列,但发现这些阵列性能不佳且一致性较差。因此,随后采用了一种基于最小冗余线性阵列的方法。首先由最小冗余阵列确定一些元件以确保空间分辨率,然后使用遗传算法对其余元件进行优化。与仅通过遗传算法设计的阵列相比,用这种方法设计的稀疏阵列具有更好的性能和一致性。仿真和实验均证实了其有效性。

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