From Event: SPIE Commercial + Scientific Sensing and Imaging, 2017
In Raman-based distributed temperature sensing (DTS) systems, the signal to noise ratio (SNR) is often low due to weak
backscattered Raman signals. This can limit both sensing distance and temperature resolution. Common methods of
increasing the signal, versus noise floor, exist but most have significant limitations. For example, attempting to improve
SNR by increasing the launching power is limited by the stimulated Raman scattering (SRS) threshold of the fiber. To
overcome this power limitation, we propose a new SRS filtering method that allows more power to be launched into the
fiber, beyond the SRS threshold, without causing additional temperature error. With this SRS filtering method we show
that 3 dB more power may be launched into the fiber while improving the SNR of the received signals by 1.6 dB.
Xiaoguang Sun, Jie Li, and Mike Hines, "SNR improvement in a Raman based distributed temperature sensing system using a stimulated Raman scattering filter," Proc. SPIE 10208, Fiber Optic Sensors and Applications XIV, 102080E (Presented at SPIE Commercial + Scientific Sensing and Imaging: April 11, 2017; Published: 27 April 2017); https://doi.org/10.1117/12.2261099.
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