Mode Group Diversity Multiplexing communication system based on FastICA algorithm

Mode Group Diversity Multiplexing (MGDM) aims at creating independent and parallel communication channels over a single Multimode Fiber (MMF) by exciting several groups of modes. It can significantly improve the capacity of short-reach Multimode Fiber networks. One of the key techniques involves demultiplexing the mixed signals from the output. In this paper, we proposed a fast independent component analysis (FastICA) algorithm to demultiplex the output signals of a 2 × 2 MGDM system more efficiently. The performance of this algorithm is evaluated and compared with the zero-forcing method. Our results indicate that FastICA can demultiplex the mixed signals, improve the eye opening of the eye diagram and achieve the similar results as zero-forcing method.