Variable weight code division multiple access system for monitoring vibration of unequally distributed points

Saleh Seyedzadeh, Ivan Glesk, Farzad Pour Rahimian, Wing C. Kwong

Research output: Contribution to conferencePaperpeer-review

1 Citation (Scopus)

Abstract

The ever-growing demand for more accurate structural health monitoring of large scale facilities such as modern high-speed railways and bridges have resulted in the development of optical sensor networks (OSN), which help eliminate the disadvantages of conventional electric sensors, the most significant of which are sensitivity to electromagnetic interferences and larger sizes. The existing fibre optic infrastructures that are implanted mainly for communication purposes are not widely used by OSNs, due to the lack of appropriate multiplexing techniques. This study proposes an optical code division multiple access (OCDMA) system for support vibration sensing of unequally distributed points. The proposed system takes the advantages of spectral amplitude encoding (SAC) technique in providing differentiated services in physical layer by varying code weights. Simulation results monitoring three vibration sensor nodes with different distances are presented in the paper. The simulation and mathematical analysis indicate the suitability and simple implementation of the proposed system for supporting vibration sensing with high accuracy.

Original languageEnglish
Number of pages4
DOIs
Publication statusPublished - 13 Jul 2019
Event21st International Conference on Transparent Optical Networks, ICTON 2019 - Angers, France
Duration: 9 Jul 201913 Jul 2019

Conference

Conference21st International Conference on Transparent Optical Networks, ICTON 2019
Country/TerritoryFrance
CityAngers
Period9/07/1913/07/19

Bibliographical note

Funding Information:
This project has received funding from the European Union’s Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 734331. It is also supported in part by the Faulty Development and Research Grants of Hofstra University.

Funding Information:
This project has received funding from the European Union's Horizon 2020 research and innovation program under the Marie Sklodowska-Curie grant agreement No 734331. It is also supported in part by the Faulty Development and Research Grants of Hofstra University.

Publisher Copyright:
© 2019 IEEE.

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