Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10135647 | Optics Communications | 2019 | 20 Pages |
Abstract
In this paper, a Volterra series nonlinear equalization (NLE) scheme and two kinds of neural network equalization (NNE) schemes are presented to compensate the nonlinear distortions in vector mm-wave system over fiber link. The principle of NLE, two-layer forward neural network (FNN) and radial basis function neural network (RNN) scheme are presented and their performance are compared through a 5Gbaud 16QAM over 40Â GHz RF carrier simulation system. The presented NLE and NNE scheme are both proved to be feasible in nonlinearity mitigation in vector mm-wave system, and NNE scheme outperforms the conventional nonlinear equalization using statistics algorithm.
Related Topics
Physical Sciences and Engineering
Materials Science
Electronic, Optical and Magnetic Materials
Authors
Li Tao, Liang Chen, Qifeng Liu,