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Wideband dynamic microwave frequency identification system using a low-power ultracompact silicon photonic chip
Photonic-based instantaneous frequency measurement (IFM) of unknown microwave signals offers improved flexibility and frequency range as compared with electronic solutions. However, no photonic platform has ever demonstrated the key capability to perform dynamic IFM, as required in real-world applic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5427516/ https://www.ncbi.nlm.nih.gov/pubmed/27687576 http://dx.doi.org/10.1038/ncomms13004 |
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author | Burla, Maurizio Wang, Xu Li, Ming Chrostowski, Lukas Azaña, José |
author_facet | Burla, Maurizio Wang, Xu Li, Ming Chrostowski, Lukas Azaña, José |
author_sort | Burla, Maurizio |
collection | PubMed |
description | Photonic-based instantaneous frequency measurement (IFM) of unknown microwave signals offers improved flexibility and frequency range as compared with electronic solutions. However, no photonic platform has ever demonstrated the key capability to perform dynamic IFM, as required in real-world applications. In addition, all demonstrations to date employ bulky components or need high optical power for operation. Here we demonstrate an integrated photonic IFM system that can identify frequency-varying signals in a dynamic manner, without any need for fast measurement instrumentation. The system is based on a fully linear, ultracompact system based on a waveguide Bragg grating on silicon, only 65-μm long and operating up to ∼30 GHz with carrier power below 10 mW, significantly outperforming present technologies. These results open a solid path towards identification of dynamically changing signals over tens of GHz bandwidths using a practical, low-cost on-chip implementation for applications from broadband communications to biomedical, astronomy and more. |
format | Online Article Text |
id | pubmed-5427516 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-54275162017-05-24 Wideband dynamic microwave frequency identification system using a low-power ultracompact silicon photonic chip Burla, Maurizio Wang, Xu Li, Ming Chrostowski, Lukas Azaña, José Nat Commun Article Photonic-based instantaneous frequency measurement (IFM) of unknown microwave signals offers improved flexibility and frequency range as compared with electronic solutions. However, no photonic platform has ever demonstrated the key capability to perform dynamic IFM, as required in real-world applications. In addition, all demonstrations to date employ bulky components or need high optical power for operation. Here we demonstrate an integrated photonic IFM system that can identify frequency-varying signals in a dynamic manner, without any need for fast measurement instrumentation. The system is based on a fully linear, ultracompact system based on a waveguide Bragg grating on silicon, only 65-μm long and operating up to ∼30 GHz with carrier power below 10 mW, significantly outperforming present technologies. These results open a solid path towards identification of dynamically changing signals over tens of GHz bandwidths using a practical, low-cost on-chip implementation for applications from broadband communications to biomedical, astronomy and more. Nature Publishing Group 2016-09-30 /pmc/articles/PMC5427516/ /pubmed/27687576 http://dx.doi.org/10.1038/ncomms13004 Text en Copyright © 2016, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Burla, Maurizio Wang, Xu Li, Ming Chrostowski, Lukas Azaña, José Wideband dynamic microwave frequency identification system using a low-power ultracompact silicon photonic chip |
title | Wideband dynamic microwave frequency identification system using a low-power ultracompact silicon photonic chip |
title_full | Wideband dynamic microwave frequency identification system using a low-power ultracompact silicon photonic chip |
title_fullStr | Wideband dynamic microwave frequency identification system using a low-power ultracompact silicon photonic chip |
title_full_unstemmed | Wideband dynamic microwave frequency identification system using a low-power ultracompact silicon photonic chip |
title_short | Wideband dynamic microwave frequency identification system using a low-power ultracompact silicon photonic chip |
title_sort | wideband dynamic microwave frequency identification system using a low-power ultracompact silicon photonic chip |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5427516/ https://www.ncbi.nlm.nih.gov/pubmed/27687576 http://dx.doi.org/10.1038/ncomms13004 |
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