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用于移动流体多普勒仿真的开源现场可编程门阵列协处理器

Open-Source FPGA Coprocessor for the Doppler Emulation of Moving Fluids.

作者信息

Ricci Stefano

机构信息

Information Engineering Department, University of Florence, 50139 Florence, Italy.

出版信息

Micromachines (Basel). 2021 Dec 12;12(12):1549. doi: 10.3390/mi12121549.

DOI:10.3390/mi12121549
PMID:34945399
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8705441/
Abstract

Embedded systems are nowadays employed in a wide range of application, and their capability to implement calculation-intensive algorithms is growing quickly and constantly. This result is obtained by the exploitation of powerful embedded processors that are often connected to coprocessors optimized for a particular application. This work presents an open-source coprocessor dedicated to the real-time generation of a synthetic signal that mimics the echoes produced by a moving fluid when investigated by ultrasounds. The coprocessor is implemented in a Field Programmable Gate Array (FPGA) device and integrated in an embedded system. The system can replace the complex and inaccurate flow-rigs employed in laboratorial tests of Doppler ultrasound systems and methods. This paper details the coprocessor and its standard interfaces, and shows how it can be integrated in the wider architecture of an embedded system. Experiments showed its capability to emulate a fluid flowing in a pipe when investigated by an echographic Doppler system.

摘要

如今,嵌入式系统被广泛应用于各种领域,并且它们执行计算密集型算法的能力正在迅速且持续地增长。这一成果是通过利用强大的嵌入式处理器实现的,这些处理器通常连接到针对特定应用进行优化的协处理器。这项工作展示了一种开源协处理器,它致力于实时生成合成信号,该信号模仿了超声探测移动流体时产生的回波。该协处理器在现场可编程门阵列(FPGA)器件中实现,并集成到嵌入式系统中。该系统可以取代多普勒超声系统和方法实验室测试中使用的复杂且不准确的流动试验装置。本文详细介绍了该协处理器及其标准接口,并展示了它如何集成到嵌入式系统的更广泛架构中。实验表明,当用超声多普勒系统进行探测时,它能够模拟管道中流体的流动。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b312/8705441/cd2f52965b25/micromachines-12-01549-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b312/8705441/5eb0567e0782/micromachines-12-01549-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b312/8705441/7b16ef559990/micromachines-12-01549-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b312/8705441/a8522eb4c80a/micromachines-12-01549-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b312/8705441/f9668e2ee12d/micromachines-12-01549-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b312/8705441/cd2f52965b25/micromachines-12-01549-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b312/8705441/5eb0567e0782/micromachines-12-01549-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b312/8705441/7b16ef559990/micromachines-12-01549-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b312/8705441/a8522eb4c80a/micromachines-12-01549-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b312/8705441/f9668e2ee12d/micromachines-12-01549-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b312/8705441/cd2f52965b25/micromachines-12-01549-g005.jpg

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