Enhanced Recurrent Neural Network Equalization based on Hidden Feature Extraction Learning for Optical Interconnect

We propose a hidden feature extraction learning method for RNN equalization to improve training efficiency without increasing computational burden. Superior BER is demonstrated in 288 Gb/s 100 m VCSEL-MMF interconnect compared with black-box training strategy.