A novel data adaptive detection scheme for distributed fiber optic acoustic sensing

İbrahim Ölçer; Ahmet Öncü

doi:10.1117/12.2224151

12 May 2016 A novel data adaptive detection scheme for distributed fiber optic acoustic sensing

İbrahim Ölçer, Ahmet Öncü

Proceedings Volume 9852, Fiber Optic Sensors and Applications XIII; 98520V (2016) https://doi.org/10.1117/12.2224151
Event: SPIE Commercial + Scientific Sensing and Imaging, 2016, Baltimore, MD, United States

Abstract

We introduce a new approach for distributed fiber optic sensing based on adaptive processing of phase sensitive optical time domain reflectometry (Φ-OTDR) signals. Instead of conventional methods which utilizes frame averaging of detected signal traces, our adaptive algorithm senses a set of noise parameters to enhance the signal-to-noise ratio (SNR) for improved detection performance. This data set is called the secondary data set from which a weight vector for the detection of a signal is computed. The signal presence is sought in the primary data set. This adaptive technique can be used for vibration detection of health monitoring of various civil structures as well as any other dynamic monitoring requirements such as pipeline and perimeter security applications.

Citation Download Citation

İbrahim Ölçer and Ahmet Öncü "A novel data adaptive detection scheme for distributed fiber optic acoustic sensing", Proc. SPIE 9852, Fiber Optic Sensors and Applications XIII, 98520V (12 May 2016); https://doi.org/10.1117/12.2224151

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KEYWORDS

Signal detection

Signal processing

Signal to noise ratio

Electronic filtering

Fiber optics sensors

Digital filtering

Filtering (signal processing)

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