A multi-source signals separation algorithm for identifying the threatening signals applied in Fiber-Optic Distributed Acoustic Sensor

被引：2

作者：

He, Tao ^{[1
,2
]}

Zhang, Shixiong ^{[2
]}

Li, Hao ^{[2
]}

Yan, Zhijun ^{[2
]}

Liu, Deming ^{[1
,2
]}

Sun, Qizhen ^{[2
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Cyber Sci & Engn, Hubei Engn Res Ctr Big Data Secur, Hubei Key Lab Distributed Syst Secur, Wuhan 430074, Hubei, Peoples R China

[2] Huazhong Univ Sci & Technol, Natl Lab Optoelect, Natl Engn Lab Next Generat Internet Access Syst, Opt Valley Lab,Sch Opt & Elect Informat, Wuhan 430074, Hubei, Peoples R China

来源：

2023 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION, OFC | 2023年

基金：

中国国家自然科学基金;

关键词：

D O I：

10.1364/OFC.2023.W2B.23

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A multi-source signals separation algorithm is proposed to identify the potential threatening signals submerged in the strong background noises. Finally, the recognition rate of the mixed signals is improved from 62.83% to 92.36%. (c) 2022 The Author(s)

引用

页数：3

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