Differentiating trace-to-trace noise effects using novel signal characteristics in phase-sensitive OTDR systems
Various noise effects do usually degrade the back-reflected signals of the phase-sensitive optical time-domain reflectometry (phi-OTDR) systems. All the induced noise effects in these signals are known to have similar effects to date and therefore, it was impossible to segregate the noise effects. A...
| Autores: | , , , , , |
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| Formato: | artículo |
| Fecha de publicación: | 2022 |
| País: | España |
| Recursos: | Universidad de Alcalá (UAH) |
| Repositorio: | e_Buah Biblioteca Digital Universidad de Alcalá |
| Idioma: | inglés |
| OAI Identifier: | oai:ebuah.uah.es:10017/64542 |
| Acesso em linha: | http://hdl.handle.net/10017/64542 https://dx.doi.org/10.1007/s11082-022-04314-2 |
| Access Level: | acceso abierto |
| Palavra-chave: | Distributed acoustic sensing Direct detected phase-sensitive OTDR system Coherent detected phase-sensitive OTDR system Trace-to-trace fluctuation Electrónica Electronics |
| Resumo: | Various noise effects do usually degrade the back-reflected signals of the phase-sensitive optical time-domain reflectometry (phi-OTDR) systems. All the induced noise effects in these signals are known to have similar effects to date and therefore, it was impossible to segregate the noise effects. A study regarding the segregation of trace-to-trace fluctuation (TTF) noise in phi-OTDR systems is important as it can open doors for noise mitigation in these systems. Moreover, a division of these noise effects into two parts is possible with the help of their characteristics. To do so, one of these noise effects can be characterized as a spatially variable noise (SVN), which is a dominant noise effect within a direct detected phi-OTDR system, whereas the second type of noise effect can be characterized as a spatially constant noise (SCN), whose effect is found in both direct and coherent detected phi-OTDR systems. These harmful noise effects are characterized in this work by the matched filtering moving (MFM) algorithm. Therefore, we consider that this characterization can be proved as the first step for noise mitigation in phi-OTDR systems. |
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