Abstract
We demonstrate, for the first time, the highly accurate detection of the physical condition of optical fiber by using an artificial neural network (ANN). The ANN takes constellation data as its input, and outputs estimation data indicating the presence of optical fiber bending. This technique can estimate optical fiber condition without additional testers. We verify that the trained ANN can precisely detect optical fiber bends from test data as well as validation data in transmission lines with no optical amplifiers. The proposal is effective if optical amplifiers are used provided the amplitude spontaneous emission noise is small.
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