Adaptive Temporal Matched Filtering for Noise Suppression in Fiber Optic Distributed Acoustic Sensing
TÜBİTAK BİLGEM, Barış Mah., Dr. Zeki Acar Cad., Gebze 41470, Kocaeli, Turkey
Electrical & Electronics Engineering Department, Boğaziçi University, Bebek, İstanbul 34342, Turkey
Author to whom correspondence should be addressed.
Academic Editor: Vittorio M. N. Passaro
Received: 22 March 2017 / Revised: 26 May 2017 / Accepted: 1 June 2017 / Published: 5 June 2017
Distributed vibration sensing based on phase-sensitive optical time domain reflectometry (
-OTDR) is being widely used in several applications. However, one of the main challenges in coherent detection-based
-OTDR systems is the fading noise, which impacts the detection performance. In addition, typical signal averaging and differentiating techniques are not suitable for detecting high frequency events. This paper presents a new approach for reducing the effect of fading noise in fiber optic distributed acoustic vibration sensing systems without any impact on the frequency response of the detection system. The method is based on temporal adaptive processing of
-OTDR signals. The fundamental theory underlying the algorithm, which is based on signal-to-noise ratio (SNR) maximization, is presented, and the efficacy of our algorithm is demonstrated with laboratory experiments and field tests. With the proposed digital processing technique, the results show that more than 10 dB of SNR values can be achieved without any reduction in the system bandwidth and without using additional optical amplifier stages in the hardware. We believe that our proposed adaptive processing approach can be effectively used to develop fiber optic-based distributed acoustic vibration sensing systems.
This is an open access article distributed under the Creative Commons Attribution License
which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
Share & Cite This Article
MDPI and ACS Style
Ölçer, İ.; Öncü, A. Adaptive Temporal Matched Filtering for Noise Suppression in Fiber Optic Distributed Acoustic Sensing. Sensors 2017, 17, 1288.
Ölçer İ, Öncü A. Adaptive Temporal Matched Filtering for Noise Suppression in Fiber Optic Distributed Acoustic Sensing. Sensors. 2017; 17(6):1288.
Ölçer, İbrahim; Öncü, Ahmet. 2017. "Adaptive Temporal Matched Filtering for Noise Suppression in Fiber Optic Distributed Acoustic Sensing." Sensors 17, no. 6: 1288.
Show more citation formats
Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.
[Return to top]
For more information on the journal statistics, click here
Multiple requests from the same IP address are counted as one view.