Fermat Number Transform Based Chromatic Dispersion Compensation and Adaptive Equalization Algorithm
Siyu Chen, Zheli Liu, Weihao Li, Zihe Hu, Mingming Zhang, Sheng Cui, and Ming Tang
TL;DR
This paper introduces a Fermat number transform-based algorithm for chromatic dispersion compensation and adaptive equalization, significantly reducing computational complexity while maintaining high transmission performance in high-speed optical systems.
Contribution
The paper presents a novel Fermat number transform approach that decreases computational complexity by 68% in chromatic dispersion compensation and adaptive equalization.
Findings
Reduced computational complexity by 68%.
Achieved only 0.8 dB receiver sensitivity penalty.
Validated performance in a 75 km, 40 GBaud PDM-16QAM system.
Abstract
By introducing the Fermat number transform into chromatic dispersion compensation and adaptive equalization, the computational complexity has been reduced by 68% compared with the con?ventional implementation. Experimental results validate its transmission performance with only 0.8 dB receiver sensitivity penalty in a 75 km-40 GBaud-PDM-16QAM system.
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Taxonomy
TopicsAdvanced Computing and Algorithms · Graph Labeling and Dimension Problems · Image and Video Stabilization