UPM Institutional Repository

Performance and comparison of fiber vibration sensing using SAC-OCDMA with direct decoding techniques


Citation

Taiwo, Ambali and Seyedzadeh, Saleh and Taiwo, Sulaiman and Sahbudin, Ratna Kalos Zakiah and Yaacob, Mohd. Hanif and Mokhtar, Makhfudzah (2014) Performance and comparison of fiber vibration sensing using SAC-OCDMA with direct decoding techniques. Optik, 125 (17). pp. 4803-4806. ISSN 0030-4026; ESSN: 1618-1336

Abstract

Intensity modulated fiber vibrations sensing using Khazani Syed (KS) and Modified Quadratic Congruence Code (MQC) code for quasi distributed vibration measurement have been evaluated. The systems employed Spectral Direct (SD) Decoding for Spectral Amplitude Coding-Optical Code Division Multiple Access (SAC-OCDMA). SAC-OCDMA is adopted because of its enormous impact in dealing with Multiple Access Interference (MAI). The setup was carried out for three sensor points in three consecutive measurements. The performance of the sensing system with the KS and MQC codes were compared at the same weight and number of code sequence. It was observed that the applied vibration frequencies were obtained at the receivers and the signal employing MQC are received at slightly better power than KS code. However, KS code setup employed less number of components and therefore, reduce the cost and complexity of achieving quasi-distributed vibration sensing.


Download File

[img]
Preview
PDF (Abstract)
Performance and comparison of fiber vibration sensing using SAC-OCDMA with direct decoding techniques.pdf

Download (38kB) | Preview

Additional Metadata

Item Type: Article
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1016/j.ijleo.2014.04.055
Publisher: Elsevier
Keywords: Khazani Syed (KS) Code; Spectral Direct (SD); Spectral Amplitude Coding-Optical Code Division Multiple Access (SAC-OCDMA); Multiple Access Interference (MAI); Vibration sensing
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 23 Dec 2015 06:26
Last Modified: 18 Apr 2016 08:10
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1016/j.ijleo.2014.04.055
URI: http://psasir.upm.edu.my/id/eprint/34871
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item