Simple Search:

Performance of SAC-OCDMA codes for multipoint fiber vibration sensing


Citation

Danjuma, Kuje and Taiwo, Ambali and Sahbudin, Ratna Kalos Zakiah and Mokhtar, Makhfudzah and Yaacob, Mohd. Hanif (2014) Performance of SAC-OCDMA codes for multipoint fiber vibration sensing. In: The 5th Int. Conference on Photonics (ICP2014), 2-4 Sept. 2014, Kuala Lumpur, Malaysia. (pp. 247-249).

Abstract / Synopsis

Performance of Spectral Amplitude Coding - Optical Code Division Multiple Access (SACOCDMA) based fiber vibration sensor multiplexing using Multi-Service (MS) code has been investigated. The aim of the setup was to implement a multipoint fiber vibration sensing with less complexity, efficient performance against multiple access interference (MAI) and phase induced intensity noise (PIIN) which degrade performances. Comparison was made of the three sensing points with other existing SAC codes such as the Khazani Syed (KS) code, Modified Congruence Code (MQC) and Optical Orthogonal Code (OOC) in terms of level of signal power received, fiber length supported and complexity of system implementation. MS code has advantage of better received power hence supported longer fiber length, flexibility in increasing the number of sensors, service differentiation and shorter code length. Moreover, it has some close chips which can be filtered using single FBG therefore reduces the cost and complexity in sensor multiplexing.


Download File

Full text not available from this repository.

Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Engineering
DOI Number: https://doi.org/10.1109/ICP.2014.7002369
Publisher: IEEE (IEEE Xplore)
Keywords: Multi-Service (MS) code; Khazani Syed (KS) code; Multipoint sensing; Multiple access interference; Vibration measurement
Depositing User: Nursyafinaz Mohd Noh
Date Deposited: 18 Jun 2015 13:25
Last Modified: 18 Jun 2015 13:25
Altmetrics: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7002369
URI: http://psasir.upm.edu.my/id/eprint/38881
Statistic Details: View Download Statistic

Actions (login required)

View Item View Item