A real-time fiber mode demodulation method enhanced by convolution neural network

Abstract Inspired by the outstanding performance of artificial intelligence for various tasks, in this work we explore a new method for the fiber modal demodulation based on convolutional neural networks (CNN). The neural network is trained by using a self-made data set and is utilized to obtain the rough modal information. Based on this initial information, the interior point (IP) algorithm is afterward used to explore the precise optimal value. Simulation results indicate that this approach has stable performance and excellent accuracy. In addition, the method also has a satisfactory real-time characteristic.

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