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Data Reduction in Phase-Sensitive OTDR with Ultra-Low Sampling Resolution and Undersampling Techniques.
Yu, Feihong; Shao, Liyang; Liu, Shuaiqi; Xu, Weijie; Xiao, Dongrui; Liu, Huanhuan; Shum, Perry Ping.
Afiliação
  • Yu F; Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
  • Shao L; Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
  • Liu S; Peng Cheng Laboratory, Shenzhen 518005, China.
  • Xu W; Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
  • Xiao D; State Key Laboratory of Analog and Mixed-Signal VLSI, University of Macau, Macau 999078, China.
  • Liu H; Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
  • Shum PP; Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
Sensors (Basel) ; 22(17)2022 Aug 24.
Article em En | MEDLINE | ID: mdl-36080845
Data storage is a problem that cannot be ignored in the long-term monitoring of a phase-sensitive optical time-domain reflectometry (Φ-OTDR) system. In this paper, we proposed a data-reduction approach for heterodyne Φ-OTDR using an ultra-low sampling resolution and undersampling techniques. The operation principles were demonstrated and experiments with different sensing configurations were carried out to verify the proposed method. The results showed that the vibration signal could be accurately reconstructed from the undersampled 1-bit data. A space saving ratio of 98.75% was achieved by converting 128 MB of data (corresponding to 268.44 ms of sensing time) to 1.6 MB. The proposed method led to a potentially new data-reduction approach for heterodyne Φ-OTDR, which also provided economical guidance for the selection of the data-acquisition device.
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Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Diagnostic_studies Idioma: En Revista: Sensors (Basel) Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China