Optical Design and Engineering

Improved wavelet packet classification algorithm for vibrational intrusions in distributed fiber-optic monitoring systems

[+] Author Affiliations
Bingjie Wang, Shaohua Pi, Qi Sun, Bo Jia

Fudan University, Department of Materials Science, 220 Handan Road, Shanghai 200433, China

Opt. Eng. 54(5), 055104 (May 20, 2015). doi:10.1117/1.OE.54.5.055104
History: Received March 10, 2015; Accepted April 22, 2015
Text Size: A A A

Abstract.  An improved classification algorithm that considers multiscale wavelet packet Shannon entropy is proposed. Decomposition coefficients at all levels are obtained to build the initial Shannon entropy feature vector. After subtracting the Shannon entropy map of the background signal, components of the strongest discriminating power in the initial feature vector are picked out to rebuild the Shannon entropy feature vector, which is transferred to radial basis function (RBF) neural network for classification. Four types of man-made vibrational intrusion signals are recorded based on a modified Sagnac interferometer. The performance of the improved classification algorithm has been evaluated by the classification experiments via RBF neural network under different diffusion coefficients. An 85% classification accuracy rate is achieved, which is higher than the other common algorithms. The classification results show that this improved classification algorithm can be used to classify vibrational intrusion signals in an automatic real-time monitoring system.

Figures in this Article
© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Bingjie Wang ; Shaohua Pi ; Qi Sun and Bo Jia
"Improved wavelet packet classification algorithm for vibrational intrusions in distributed fiber-optic monitoring systems", Opt. Eng. 54(5), 055104 (May 20, 2015). ; http://dx.doi.org/10.1117/1.OE.54.5.055104


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.