Interdimensional Interference Equalizing Using Recurrent Neural Network for Multi-Dimensional Optical Transmission

oleh: Inho Ha, Joung-Moon Lee, Jinwoo Park, Sang-Kook Han

Format: Article
Diterbitkan: IEEE 2024-01-01

Deskripsi

During multi-dimensional optical transmission, because of photodetector (PD) operation as a square law detector, signals get distorted when they are modulated on polarization and phase due to interdimensional interference (IDI) by intensity-modulated signals. We propose an IDI mitigation technique using recurrent neural network for multi-dimensional optical transmission. The signal transmission performance of the proposed equalization technique was experimentally analyzed. The performance of the proposed system was verified using the symbol error rate (SER).