Learning effective nonlinear operator for high speed optical compensation system
Optics Express
|August 13, 2025
Summary
Optical communication systems face impairments from linear and nonlinear Kerr effects. A new method, SNSE-DBP, unifies compensation techniques for improved efficiency and reduced computational cost in signal transmission.
Area of Science:
- Optical Communications
- Digital Signal Processing
Background:
- Optical systems suffer signal impairments from linear and nonlinear Kerr effects.
- Existing compensation methods like post-processing compensation (PPC) and digital back-propagation (DBP) have limitations in accuracy and computational complexity.
- There is a need for a unified approach to nonlinear compensation that balances performance and cost.
Purpose of the Study:
- To introduce a unified framework for nonlinear compensation operators in optical systems.
- To develop an efficient compensation method that overcomes limitations of current techniques.
- To present SNSE-DBP as a novel solution for nonlinear compensation.
Main Methods:
- The study introduces the Simplified Nonlinear Symbol Equation (SNSE) as a theoretical framework.
- SNSE is used to develop the SNSE-DBP compensation framework, employing a cross-shaped truncation for nonlinear effects.
- The SNSE-DBP framework is implemented as a deep neural network for data-driven optimization.
Main Results:
- Numerical simulations show SNSE-DBP outperforms PPC and DBP in efficiency.
- The proposed method offers a unified approach to handling linear and nonlinear impairments.
- SNSE-DBP demonstrates improved performance compared to existing compensation schemes.
Conclusions:
- SNSE-DBP provides an effective and computationally feasible solution for nonlinear compensation in optical communication systems.
- This work paves the way for more efficient optical communication networks.
- The unified framework offers a significant advancement in digital signal processing for optical systems.
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