论文信息 - Fiber nonlinearity compensation using extreme learning machine for DSP-based coherent communication systems

Fiber nonlinearity compensation using extreme learning machine for DSP-based coherent communication systems

Extreme learning machine (ELM) is proposed for compensation of impairments caused by fiber nonlinearity in coherent optical communication systems. Simulations show comparable compensation results to backpropagation (BP) while the computation complexity is significantly reduced.

Alan Pak Tao Lau | Thomas Shun Rong Shen

[1] J. Kahn,et al. Compensation of Dispersion and Nonlinear Impairments Using Digital Backpropagation , 2008, Journal of Lightwave Technology.

[2] D. Sadot,et al. Radial Basis Function Network Equalizer for Optical Communication OOK System , 2007, Journal of Lightwave Technology.

[3] Chee Kheong Siew,et al. Extreme learning machine: Theory and applications , 2006, Neurocomputing.

[4] Arthur James Lowery,et al. Improved single channel backpropagation for intra-channel fiber nonlinearity compensation in long-haul optical communication systems. , 2010, Optics express.

[5] E. Ip,et al. Nonlinear Compensation Using Backpropagation for Polarization-Multiplexed Transmission , 2010, Journal of Lightwave Technology.