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Shengtao Lin

dblp:235/8045 · DBLP profile ↗
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4ranked-venue papers
1as first author
3since 2021 · last 2024
—ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 3 · 1 first-author · 3 since 2021Computer networks · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
3 papers
Optical networks · 58% Physical-layer communications · 42%
Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 2 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Optical networks
optical fiber communication
1.222023
Prediction of fiber Rayleigh scattering responses based on deep learning · Sci. China Inf. Sci. 2023
Optical-pulse-coding phase-sensitive OTDR with mismatched filtering · Sci. China Inf. Sci. 2022
Physical-layer communications › radio propagation
rayleigh scattering
0.712023
Prediction of fiber Rayleigh scattering responses based on deep learning · Sci. China Inf. Sci. 2023

Methods — techniques the papers use, named apart from their topics

mismatched filtering · 1.1deep learning · 0.7
YearPublicationVenuePosition
2024 Radiation build-up and dissipation in Raman random fiber laser
Shengtao Lin, Zinan Wang
Sci. China Inf. Sci.1
2023 Prediction of fiber Rayleigh scattering responses based on deep learning
Yongxin Liang, Jianhui Sun, Anchi Wan, Zhenyu Ye, Shengtao Lin, Zinan Wang
Sci. China Inf. Sci.8
2022 Optical-pulse-coding phase-sensitive OTDR with mismatched filtering
Yongxin Liang, Zinan Wang, Shengtao Lin, Zijie Qiu, Chunye Liu, Yunjiang Rao
Sci. China Inf. Sci.3
2019 Distributed Acoustic Sensing Based on Pulse-Coding Phase-Sensitive OTDR
abstract
Phase-sensitive optical time-domain reflectometry (Φ-OTDR), which utilizes the phase information of Rayleigh scattered lightwave inside optical fiber, could turn a fiber cable into a massive sensor array for distributed acoustic sensing (DAS), i.e., an emerging infrastructure for Internet of Things. Given a certain fiber length, there are tradeoffs among the sensing bandwidth, the sensitivity, and the spatial resolution. In this paper, the concept of linearization and Golay pulse-coding for heterodyne Φ-OTDR are proposed and experimentally verified for the first time. First, we gave a full theoretical treatment on how an intensity-coded yet phase-retrieved Φ-OTDR can be built up as a fully linear system, therefore a significant enhancement of signal-to-noise ratio becomes viable and the sensing bandwidth equals the four-times averaging case. Second in the proof-of-concept experiment, submeter gauge length and nanostrain resolution were realized with 10 km sensing range, in other words, more than ten thousand sensitive sensing units were realized along the fiber. This paper makes a significant step toward high-performance DAS with orders-of-magnitude performance enhancement.
Zinan Wang, Ji Xiong, Yun Fu 0007, Shengtao Lin, Yongxiang Chen, Qingyang Meng, Yunjiang Rao
IEEE Internet Things J.5