Fiber Sensor Network for Vessel Monitoring based on Code Division Multiple Access 


Vol. 36,  No. 10, pp. 1216-1221, Oct.  2011


PDF Full-Text
  Abstract

We propose a multiplexed fiber Bragg grating (FBG) sensor network for vessel monitoring to measure the variation of strain and temperature by environmental perturbation based on code division multiple access (CDMA). The center wavelength of FBG was linearly changed by environmental perturbation such as strain and temperature variation so that we could be monitoring the state of sensors. A RSOA was used as optical broadband source and which was modulated by using pseudo random binary sequence (PRBS) signal. The correlation peak of reflected signal from sensor networks was measured. In this paper, we used the sliding correlation techniques for high speed response and dynamic rage of sensors.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

Y. Kim, S. R. Lee, S. Jeon, C. Park, "Fiber Sensor Network for Vessel Monitoring based on Code Division Multiple Access," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 10, pp. 1216-1221, 2011. DOI: .

[ACM Style]

Youngbok Kim, Seong Ro Lee, Sie-Wook Jeon, and Chang-Soo Park. 2011. Fiber Sensor Network for Vessel Monitoring based on Code Division Multiple Access. The Journal of Korean Institute of Communications and Information Sciences, 36, 10, (2011), 1216-1221. DOI: .

[KICS Style]

Youngbok Kim, Seong Ro Lee, Sie-Wook Jeon, Chang-Soo Park, "Fiber Sensor Network for Vessel Monitoring based on Code Division Multiple Access," The Journal of Korean Institute of Communications and Information Sciences, vol. 36, no. 10, pp. 1216-1221, 10. 2011.

Search
(IN TITLE, AUTHOR, ABSTRACT,KEYWORDS)

Advanced Search ▼

POPULAR KEYWORDS
(TOP 10 KEYWORDS)

Recent Publications
(LAST 3 YEARS)






pISSN : 1226 - 4717
eISSN : 2287 - 3880