中文版 | English
Title

Compressed-domain Data Classification for Distributed Acoustic Sensing System

Author
DOI
Publication Years
2022
Conference Name
Asia Communications and Photonics Conference (ACP) / International Conference on Information Photonics and Optical Communications (IPOC)
ISSN
2162-108X
ISBN
978-1-6654-8156-4
Source Title
Pages
108-110
Conference Date
5-8 Nov. 2022
Conference Place
Shenzhen, China
Publication Place
345 E 47TH ST, NEW YORK, NY 10017 USA
Publisher
Abstract
One of the challenges in distributed acoustic sensing (DAS) system is how to transmit, store, and process massive streams of data. In this work, we propose a novel classification method in compressed-domain for DAS system Our method compresses the signal to reduce the data size and classify the different vibration events using compressed signal directly. We experimentally verified that 90% classification accuracy can be achieved on a four-class classification task with only 30% of original data size. Classification accuracy under different SNRs and measurement ratios are also investigated in this work.
Keywords
SUSTech Authorship
First
Language
English
URL[Source Record]
Indexed By
Funding Project
Stable Support Program for Higher Education Institutions from Shenzhen Science, Technology Innovation Commission[20200925162216001] ; Special Funds for the Major Fields of Colleges and Universities by the Department of Education of Guangdong Province[2021ZDZX1023] ; Guangdong Basic and Applied Basic Research Foundation[2021B1515120013] ; Open Fund of State Key Laboratory of Information Photonics and Optical Communications (Beijing University of Posts and Telecommunications)[IPOC2020A002] ; Natural Science Foundation of Guangdong Province[2022A1515011434] ; Open Projects Foundation of State Key Laboratory of Optical Fiber and Cable Manufacture Technology[SKLD2105]
WOS Research Area
Engineering ; Optics ; Telecommunications
WOS Subject
Engineering, Electrical & Electronic ; Optics ; Telecommunications
WOS Accession No
WOS:001000552100030
Data Source
IEEE
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10088818
Citation statistics
Cited Times [WOS]:0
Document TypeConference paper
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/527448
DepartmentCollege of Engineering
工学院_电子与电气工程系
Affiliation
1.Department of Electrical and Electronic Engineering, College of Engineering, Southern University of Science and Technology, Shenzhen, China
2.Department of Electronic and Information Engineering, The Hong Kong Polytechnic University, Hong Kong, China
First Author AffilicationCollege of Engineering;  Department of Electrical and Electronic Engineering
First Author's First AffilicationCollege of Engineering;  Department of Electrical and Electronic Engineering
Recommended Citation
GB/T 7714
Xingliang Shen,Jialong Li,Zhengting Wu,et al. Compressed-domain Data Classification for Distributed Acoustic Sensing System[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2022:108-110.
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