pmd compensation
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scholarly journals Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation

2020 ◽  
pp. 1-1
Author(s):  
Rick M. Butler ◽  
Christian Hager ◽  
Henry D. Pfister ◽  
Gabriele Liga ◽  
Alex Alvarado
Keyword(s):  
Machine Learning ◽  
Model Based ◽  
Pmd Compensation

scholarly journals Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation

2020 ◽  
Author(s):  
Christian Häger ◽  
Henry D. Pfister ◽  
Rick M. Bütler ◽  
Gabriele Liga ◽  
Alex Alvarado
Keyword(s):  
Machine Learning ◽  
Model Based ◽  
Pmd Compensation

scholarly journals Joint equalization scheme of ultra-fast RSOP and large PMD compensation in presence of residual chromatic dispersion

2019 ◽  
Vol 27 (15) ◽  
pp. 21896 ◽  
Author(s):  
Wei Yi ◽  
Zibo Zheng ◽  
Nan Cui ◽  
Xiaoguang Zhang ◽  
Liyuan Qiu ◽  
...  
Keyword(s):  
Chromatic Dispersion ◽  
Pmd Compensation

scholarly journals Joint Scheme of Dynamic Polarization Demultiplexing and PMD Compensation Up To Second Order for Flexible Receivers

2017 ◽  
Vol 9 (6) ◽  
pp. 1-15 ◽  
Author(s):  
Hengying Xu ◽  
Xiaoguang Zhang ◽  
Xianfeng Tang ◽  
Chenglin Bai ◽  
Lixia Xi ◽  
...  
Keyword(s):  
Second Order ◽  
Dynamic Polarization ◽  
Pmd Compensation

Adaptive Polarization Mode Dispersion Compensation with DPSO Algorithm

2014 ◽  
Vol 687-691 ◽  
pp. 4015-4018
Author(s):  
Xiu Ling Ding ◽  
Xue Guang Yuan ◽  
Jin Nan Zhang ◽  
Yang An Zhang
Keyword(s):  
Optical Communication ◽  
Control Algorithm ◽  
Dispersion Compensation ◽  
Polarization Mode Dispersion ◽  
Global Optimum ◽  
Polarization Mode ◽  
Optical Communication System ◽  
Mode Dispersion ◽  
Robustness To Noise ◽  
Pmd Compensation

Dithering particle swarm optimization (DPSO) algorithm is introduced into adaptive polarization mode dispersion (PMD) compensation in optical communication system. The DPSO algorithm has the merits of rapid convergence to the global optimum, without being trapped in local sub-optima, and good robustness to noise. How to implement DPSO as a component of a control algorithm in adaptive polarization mode dispersion compensation is described. Performance comparisons between PSO and DPSO were carried out theoretically and experimentally.

Improved PSO Based Feedback Control Algorithm in the Application of PMD Compensation System

2013 ◽  
Vol 710 ◽  
pp. 506-510
Author(s):  
Ying Chen ◽  
Qi Guang Zhu ◽  
Wei Hong Bi
Keyword(s):  
Feedback Control ◽  
Control Algorithm ◽  
Particle Swarm Optimization Algorithm ◽  
Polarization Mode Dispersion ◽  
Swarm Optimization ◽  
Eye Diagram ◽  
Mode Dispersion ◽  
Before And After ◽  
Global Optima ◽  
Pmd Compensation

An feedback control algorithm based on improved particle swarm optimization algorithm for adaptive polarization mode dispersion (PMD) compensation has been proposed. In order to achieve the global optima of DOP, the aggregating index has been adjusted to maintain the global searching capability of PSO. The immune clone principle has been adopted to maintain the diversity of the swarm. Compared the eye diagram before and after compensation, the opening of the eye diagram has been improved obviously, which demonstrated the effectiveness of the IPSO based feedback control algorithm..

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