pmd compensation
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Author(s):  
Gabriele Riccardi ◽  
Brian T. Kirby ◽  
Cristian Antonelli ◽  
Michael Brodsky

2020 ◽  
pp. 1-1
Author(s):  
Rick M. Butler ◽  
Christian Hager ◽  
Henry D. Pfister ◽  
Gabriele Liga ◽  
Alex Alvarado

Author(s):  
Christian Häger ◽  
Henry D. Pfister ◽  
Rick M. Bütler ◽  
Gabriele Liga ◽  
Alex Alvarado

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

2017 ◽  
Vol 9 (6) ◽  
pp. 1-15 ◽  
Author(s):  
Hengying Xu ◽  
Xiaoguang Zhang ◽  
Xianfeng Tang ◽  
Chenglin Bai ◽  
Lixia Xi ◽  
...  

2014 ◽  
Vol 687-691 ◽  
pp. 4015-4018
Author(s):  
Xiu Ling Ding ◽  
Xue Guang Yuan ◽  
Jin Nan Zhang ◽  
Yang An Zhang

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.


2013 ◽  
Vol 710 ◽  
pp. 506-510
Author(s):  
Ying Chen ◽  
Qi Guang Zhu ◽  
Wei Hong Bi

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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