利用 GHz 超声波换能器阵列进行声波傅立叶变换成像

Juneho Hwang, J. Kuo, Anuj Baskota, Amit Lal
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引用次数: 0

摘要

傅立叶变换是用于数值求解以及理解信号和图像的最广泛的数学工具之一。在数字领域,二维快速傅立叶变换(FFT)的计算复杂度为 O(N2logN2),经常被使用。对于许多需要以高帧频进行傅立叶计算的实时边缘应用来说,计算时间可能是一个瓶颈。一种解决方案是使用超声波硬件加速器,它能以更快的速度和更低的功耗计算傅立叶变换和卷积,达到 O(N) 复杂度 [1]-[5]。本研究首次利用压电 MEMS 框架进行了声波傅立叶变换(SonicFT)测量的实验演示。AlN 传感器被用作发射器,模拟输入超声波硬件加速器的不同图像。利用工作频率为 1.85 GHz 的 GHz 超声波成像仪对传输的超声波波面进行电子成像,该成像仪由一个 130nm CMOS 集成的 128 x 128 阵列组成,阵列中包含 50x50μm 的 AlN 换能器。获得的图像与预期的傅立叶变换一致,显示了超小型傅立叶变换能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sonic Fourier Transform Imaging Using GHz Ultrasonic Transducer Array
The Fourier transform is one of the most widely used mathematical tools for numerical solutions and understanding signals and images. In the digital domain, the 2D fast Fourier transform (FFT), which has a computational complexity of O(N2logN2), is often used. The compute time can be a bottleneck for many real-time edge applications that require Fourier computation at high frame rates. A solution is to use an ultrasonic hardware accelerator that can compute Fourier transform and convolution at a drastically higher speed and lower power, achieving O(N) complexity [1] – [5]. Presented in this work is the first experimental demonstration of the Sonic Fourier Transform (SonicFT) measurement using a piezoelectric MEMS framework. AlN transducers were used as transmitters to simulate different images being input into an ultrasonic hardware accelerator. The transmitted ultrasonic wavefronts were imaged electronically, using a GHz ultrasonic imager operating at 1.85 GHz, consisting of a 130nm CMOS-integrated 128 by 128 array of 50x50μm AlN transducers. The images obtained are consistent with the expected Fourier transforms, demonstrating an ultracompact Fourier transform capability.
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