Zobrazeno 1 - 10
of 211
pro vyhledávání: '"Luca, Palmieri"'
Publikováno v:
Sensors, Vol 23, Iss 1, p 262 (2022)
The paper reports a machine learning approach for estimating the phase in a distributed acoustic sensor implemented using optical frequency domain reflectometry, with enhanced robustness at the fading points. A neural network configuration was traine
Externí odkaz:
https://doaj.org/article/a161201e797c4961ae6e925ae2fd649f
Publikováno v:
Sensors, Vol 22, Iss 18, p 6811 (2022)
Distributed optical fiber sensing is a unique technology that offers unprecedented advantages and performance, especially in those experimental fields where requirements such as high spatial resolution, the large spatial extension of the monitored ar
Externí odkaz:
https://doaj.org/article/fcb610110911400d91b0dd86382e4279
Autor:
Leonardo Marcon, Antonella Chiuchiolo, Bernardo Castaldo, Hugues Bajas, Andrea Galtarossa, Marta Bajko, Luca Palmieri
Publikováno v:
Sensors, Vol 22, Iss 11, p 4009 (2022)
Thanks to their characteristics, optical fiber sensors are an ideal solution for sensing applications at cryogenic temperatures, such as the monitoring of superconducting devices. Their applicability at such temperatures, however, is not immediate as
Externí odkaz:
https://doaj.org/article/203a46df8e744063a4bc2c93d29026ca
Autor:
Daniele Orsuti, Cristian Antonelli, Alessandro Chiuso, Marco Santagiustina, Antonio Mecozzi, Andrea Galtarossa, Luca Palmieri
Publikováno v:
Journal of Lightwave Technology. 41:578-592
Phase-Sensitive Mode Conversion and Equalization in a Few Mode Fiber Through Parametric Interactions
Publikováno v:
IEEE Photonics Journal, Vol 9, Iss 1, Pp 1-10 (2017)
The parametric interaction in few mode fibers is theoretically and numerically studied in the particular case in which the signal and the idler waves are frequency degenerate but mode nondegenerate. Under simplifying hypotheses, we derive analytical
Externí odkaz:
https://doaj.org/article/5df34d1f98504798a497ebb8f881386f
Autor:
Daniele Orsuti, Sterenn Guerrier, Luca Palmieri, élie Awwad, Christian Dorize, Cristian Antonelli, Antonio Mecozzi
Publikováno v:
European Workshop on Optical Fibre Sensors (EWOFS 2023).
Publikováno v:
2023 Optical Fiber Communications Conference and Exhibition (OFC).
We explore the use of deep learning to loosen the constraints and enhance the performance of weak-carrier-assisted phase-retrieval receivers. The applied-dispersion-value can be reduced by 4-times and the complexity by 50% with low sensitivity penalt
Autor:
Martina Cappelletti, Daniele Orsuti, Riccardo Veronese, Nicolas K. Fontaine, Roland Ryf, Mikael Mazur, Haoshuo Chen, Marco Santagiustina, Andrea Galtarossa, Luca Palmieri
Publikováno v:
2023 Optical Fiber Communications Conference and Exhibition (OFC).
OFDR-based, distributed characterization of polarization and coupling properties of a 3-coupled-core fiber is reported. Results highlight the beating among the supermodes of the fiber, enabling the evaluation of their polarization and modal birefring
Autor:
Sterenn Guerrier, Antonio Mecozzi, Christian Dorize, Cristian Antonelli, Lauren Dallachiesa, Haïk Mardoyan, Élie Awwad, Daniele Orsuti, Luca Palmieri, Mikael Mazur, Tetsuya Hayashi, Roland Ryf, Jérémie Renaudier
Publikováno v:
Optical Fiber Communication Conference (OFC) 2023.
We demonstrate a successful field trial of MIMO-DAS over multicore fiber (MCF) allowing for accurate localization of acoustic events in the city of L’Aquila, Italy. We show a 2m spatial resolution and 1mHz-380Hz acoustic bandwidth.
Autor:
Emanuele Perrone, Ilaria Capasso, Francesca De Felice, Diana Giannarelli, Giorgia Dinoi, Alessandro Petrecca, Luca Palmieri, Aniello Foresta, Camilla Nero, Damiano Arciuolo, Domenica Lorusso, Gian Franco Zannoni, Giovanni Scambia, Francesco Fanfani
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce74bd15f6c16bb10611456113cb07ff
https://hdl.handle.net/10807/238754
https://hdl.handle.net/10807/238754