E-resources
-
Krivosheev, A.I.; Konstantinov, Yu.A.; Krishtop, V.V.; Turov, A.T.; Barkov, F.L.; Zhirnov, A.A.; Garin, E.O.; Pnev, A.B.
2022 International Conference Laser Optics (ICLO), 2022-June-20Conference Proceeding
We present a method for increasing the accuracy of determining the Brillouin frequency shift in a fiber strain sensor. A neural network which using the results obtained from other methods as input data and the parameters of the system is applied. The result is an additional 10% accuracy increasing, which is significant given that existing methods have already reached their limit and work at low SNR values (about 5 dB).
