Ultrasonic Phased Array Imaging Method Based On Multi - Scattering Model

Jianzu Gu, Bin Zhang, Rui-Xiang Su, Lei Qian, Rong Chen
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Abstract

With the development of ultrasonic technology, ultrasonic wave plays an increasingly important role in the field of nondestructive testing. Among all kinds of ultrasonic nondestructive testing technologie, ultrasonic phased array is widely used because of its high accuracy and flexibility. However, due to the existence of rayleigh limit, ordinary ultrasonic phased array technology cannot recover the space frequency greater than 2K, so it is impossible to achieve the resolution less than half of the wavelengthof the super-resolution. In this paper, we introduce a method to realize super resolution imaging in multi-band phased array.In this method, the damage is detected by multiple phased arrays, and the received signals are processed by specific algorithms to obtain super-resolution imaging. The signal is excited by M exciter and then received by N receiver. The total signal can form an M*N matrix. After singular valuedecomposition of the collected signal matrix,T significant eigenvalues can be obtained. The T significant eigenvalues represent the number of injuries. The singular vector after singular value decomposition contains the information of noise space. The number of eigenvalues in the signal space is the number of damage. Using the randomness of noise subspace, special algorithm can be used to restore the spatial frequency greater than 2K to achieve super-resolution imaging.The more elements in this method, the more accurate and complicated it is. As long as the smallest value of M and N is greater than the number of injuries, each injury can be successfully distinguished under super resolution. Therefore, the appropriate number of matrix elements should be selected for different damages.
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基于多散射模型的超声相控阵成像方法
随着超声技术的发展,超声波在无损检测领域发挥着越来越重要的作用。在各种超声无损检测技术中,超声相控阵以其高精度和灵活性得到了广泛的应用。然而,由于瑞利极限的存在,普通的超声相控阵技术无法恢复大于2K的空间频率,因此不可能达到小于超分辨率波长一半的分辨率。本文介绍了一种在多波段相控阵中实现超分辨率成像的方法。该方法通过多个相控阵检测损伤,并对接收到的信号进行特定算法处理,获得超分辨率成像。信号由M个激振器激发,再由N个接收机接收。总信号可以形成一个M*N矩阵。对采集到的信号矩阵进行奇异值分解,得到T个显著特征值。T个显著特征值代表受伤的数量。奇异值分解后的奇异向量包含了噪声空间的信息。信号空间中特征值的个数就是损伤的个数。利用噪声子空间的随机性,利用特殊算法恢复大于2K的空间频率,实现超分辨率成像。该方法中元素越多,精度越高,计算越复杂。只要M和N的最小值大于损伤数,就可以在超分辨率下成功区分出每一种损伤。因此,应针对不同的损伤选择合适的基体单元数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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