MMF-based polarization state measurement system with temperature resistance

We propose a precise polarization-measurement system based on multimode fiber speckle. Convolutional neural network is used to achieve accurate identification of polarization states. The system is resistant to indoor temperature variation and the mean square error between actual and predicted Stokes parameters is less than 0.001.