Distributed temperature sensing based on slope‐assisted Brillouin optical correlation‐domain reflectometry with over 10 km measurement range

Abstract

The authors demonstrate distributed temperature sensing based on slope-assisted Brillouin optical correlation-domain reflectometry (BOCDR) with a long measurement range of >10 km. They find that to achieve such a long-range measurement, a delay line in a reference path needs to be at least four times longer than the sensing fibre. In addition, they show that the use of such a long delay line induces forward-propagating Brillouin-scattered light in the reference path, which deteriorates the signal-to-noise ratio (SNR) of the system and should be suppressed. Finally, by exploiting a beyond-nominalresolution effect of the slope-assisted BOCDR, they detect a 3-m-long heated section in a 13-km-long silica fibre in a distributed manner; the reason for its low SNR is also discussed.

Recent progress in slope-assisted Brillouin optical correlation-domain reflectometry

“…We then showed the usefulness of this system by a pseudo-field test [75]. We also demonstrated distributed temperature sensing with a long range of >10 km [76] along with bending-loss-independent operation [77] and stability/sensitivity-enhanced operation [78]. In addition, we used this system to measure the distribution of polarization beat length.…”

Slope-Assisted Brillouin-Based Distributed Fiber-Optic Sensing Techniques

“…Researchers have proposed two kinds of slope-assisted Brillouin correlation domain sensing systems, including SA-BOCDA [11,27,28,[46][47][48] and SA-BOCDR [49][50][51][52][53][54][55][56][57][58].…”

A new algorithm for considering green communication and excellent sensing performance in cognitive radio networks

“…31 Each node sampled 20 points; the noise power range was set to between 0 and 2 dB, while the path-loss exponent was 2.7, the standard deviation of the shadow was 5 dB, and the mean of the multipath Rayleigh fading was 1. [32][33][34] new fusion method was higher than that obtained by traditional methods. This is more obvious in cases involving low SNR because each sensing node uses double the threshold energy detection and calculates weights according to the signal energy received by itself.…”

“…31 Each node sampled 20 points; the noise power range was set to between 0 and 2 dB, while the path-loss exponent was 2.7, the standard deviation of the shadow was 5 dB, and the mean of the multipath Rayleigh fading was 1. 32–34…”