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一种用于具有多组超声传感器的超声相控阵数据传输的改进调度算法。

An Improved Scheduling Algorithm for Data Transmission in Ultrasonic Phased Arrays with Multi-Group Ultrasonic Sensors.

作者信息

Tang Wenming, Liu Guixiong, Li Yuzhong, Tan Daji

机构信息

School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou 510641, China.

Guangzhou Doppler Electronic Technologies Co., Ltd., Guangzhou 510663, China.

出版信息

Sensors (Basel). 2017 Oct 16;17(10):2355. doi: 10.3390/s17102355.

DOI:10.3390/s17102355
PMID:29035345
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5676639/
Abstract

High data transmission efficiency is a key requirement for an ultrasonic phased array with multi-group ultrasonic sensors. Here, a novel FIFOs scheduling algorithm was proposed and the data transmission efficiency with hardware technology was improved. This algorithm includes FIFOs as caches for the ultrasonic scanning data obtained from the sensors with the output data in a bandwidth-sharing way, on the basis of which an optimal length ratio of all the FIFOs is achieved, allowing the reading operations to be switched among all the FIFOs without time slot waiting. Therefore, this algorithm enhances the utilization ratio of the reading bandwidth resources so as to obtain higher efficiency than the traditional scheduling algorithms. The reliability and validity of the algorithm are substantiated after its implementation in the field programmable gate array (FPGA) technology, and the bandwidth utilization ratio and the real-time performance of the ultrasonic phased array are enhanced.

摘要

高数据传输效率是具有多组超声传感器的超声相控阵的关键要求。在此,提出了一种新颖的FIFO调度算法,并通过硬件技术提高了数据传输效率。该算法将FIFO用作缓存,以带宽共享的方式存储从传感器获取的超声扫描数据,并在此基础上实现所有FIFO的最佳长度比,使得读取操作能够在所有FIFO之间切换而无需时隙等待。因此,该算法提高了读取带宽资源的利用率,从而获得比传统调度算法更高的效率。在现场可编程门阵列(FPGA)技术中实现该算法后,验证了其可靠性和有效性,提高了超声相控阵的带宽利用率和实时性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/626d/5676639/2e44f27de1bf/sensors-17-02355-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/626d/5676639/949b28371612/sensors-17-02355-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/626d/5676639/a7845a9b03b1/sensors-17-02355-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/626d/5676639/a239557c2dde/sensors-17-02355-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/626d/5676639/308ddba66fcc/sensors-17-02355-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/626d/5676639/ba4554ba283d/sensors-17-02355-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/626d/5676639/2e44f27de1bf/sensors-17-02355-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/626d/5676639/949b28371612/sensors-17-02355-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/626d/5676639/a7845a9b03b1/sensors-17-02355-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/626d/5676639/a239557c2dde/sensors-17-02355-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/626d/5676639/308ddba66fcc/sensors-17-02355-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/626d/5676639/ba4554ba283d/sensors-17-02355-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/626d/5676639/2e44f27de1bf/sensors-17-02355-g006.jpg

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引用本文的文献

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