Low-complexity weighted regular perturbation model-based symbol rate power profile estimation.

Area of Science:

• Optical communications
• Signal processing
• Nonlinear optics

Background:

• Accurate power profile estimation (PPE) is crucial for optimizing optical fiber communication systems.
• Existing methods often require high computational complexity or oversampled data.
• Inter-symbol nonlinearity significantly impacts signal quality in high-speed systems.

Purpose of the Study:

• To propose a low-complexity, symbol-rate PPE method.
• To incorporate inter-symbol nonlinearity into the nonlinear operator.
• To evaluate the performance and robustness of the proposed method.

Main Methods:

• Development of the weighted first-order regular perturbation (WRP1) model.
• Incorporation of nonlinear phase rotation from adjacent symbols into the WRP1 model.
• Numerical simulations in a 130 GBaud DP-16QAM system.

Main Results:

• The WRP1-based PPE achieved a mean absolute error (MAE) of 0.56 dB overall and 0.02 dB at EDFA positions.
• Accuracy comparable to waveform-level PPE using oversampled data.
• Over 52% reduction in computational complexity compared to waveform-level PPE.

Conclusions:

• The WRP1-based PPE offers a practical solution for high-speed optical systems.
• The method demonstrates robustness across various transmission parameters.
• Reduced complexity facilitates real-world implementation of advanced PPE techniques.