Measurement accuracy improvement of Brillouin signal using wavelet denoising method

Jianping He; Zhi Zhou; Genda Chen; Jinping Ou

doi:10.1117/12.816688

8 April 2009 Measurement accuracy improvement of Brillouin signal using wavelet denoising method

Jianping He, Zhi Zhou, Genda Chen, Jinping Ou

Proceedings Volume 7293, Smart Sensor Phenomena, Technology, Networks, and Systems 2009; 72930B (2009) https://doi.org/10.1117/12.816688
Event: SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, 2009, San Diego, California, United States

Abstract

The signals measured from the Brillouin Optical Time Domain Analysis (BOTDR), distributed optical fiber sensing system is generally prone to contamination by environmental factors, which may degrade the measurement accuracy in field applications, a suitable method of correcting this degradation is desired. In this paper, the wavelet signal processing method is presented to filter out the noise in measured signals and validated with the strain data taken from a smart BOTDA-based cable. The results show that this method can effectively denoise the information of the measured strain of the smart cable and improve the precision of the cable force. The maximum error between the control cable force and the average cable force are 8.8% and 5.1%, respectively, prior to and after noise filtering. This comparison shows that the wavelet denoising method is suitable for the measured signal obtained from the Brillouin optical sensing system.

Citation Download Citation

Jianping He, Zhi Zhou, Genda Chen, and Jinping Ou "Measurement accuracy improvement of Brillouin signal using wavelet denoising method", Proc. SPIE 7293, Smart Sensor Phenomena, Technology, Networks, and Systems 2009, 72930B (8 April 2009); https://doi.org/10.1117/12.816688

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available