研究目的
To provide an overview of recent progress on advanced digital signal processing (DSP) techniques for high-capacity long-haul coherent optical fiber transmission systems, including the compensation of linear and nonlinear impairments, the role of DSP in space division multiplexing (SDM), and the exploration of machine learning (ML) techniques for advanced DSP.
研究成果
Coherent optical fiber communication has become an important field with the development of DSP techniques in both hardware and software. Fiber linear impairments can be compensated using static and adaptive filters while fiber nonlinearities can be compensated using the DBP method. SDM is considered as one of the most effective approaches to overcome the capacity crunch. The capacity of SDM system has been increased significantly with the improvement of novel DSP technologies. With the continuous reduction of the system cost and power consumption, DSP based coherent optical communication systems have been deployed widely. AI has been employed as an effective DSP tool in the coherent detection, however it still stays in the initial phase. Future research is greatly required to investigate the true capability and powerful function of ML in optical communications and other areas of optoelectronics.
研究不足
The performance of digital backward propagation (DBP) is limited by amplified spontaneous emission (ASE) noise, as it cannot compensate for stochastic noise sources. The computational complexity of DSP techniques, especially for nonlinearity compensation and SDM applications, remains a challenge.
