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Improved polar decoding for optical PAM transmission via non-identical Gaussian distribution based LLR estimation
Optics Express
|December 31, 2020
Summary
An improved polar decoder using non-identical Gaussian distributions enhances optical pulse amplitude modulation (PAM) systems. This method mitigates nonlinearity, achieving significant sensitivity gains for PAM-4 and PAM-8 transmissions.
Area of Science:
- Optical Communications
- Signal Processing
Background:
- Optical Pulse Amplitude Modulation (PAM) is crucial for high-speed data transmission.
- Polar coding offers powerful error correction but can be sensitive to channel nonlinearities.
Purpose of the Study:
- To propose and demonstrate an improved polar decoder for optical PAM interconnections.
- To mitigate channel nonlinearity in PAM systems using a novel LLR estimation method.
Main Methods:
- Developed a polar decoder incorporating non-identical Gaussian distributions for Log-Likelihood Ratio (LLR) estimation.
- Experimentally tested 28-Gbaud PAM-4 and PAM-8 systems over 10-km standard single-mode fiber using commercial DMLs.
Main Results:
- The improved polar decoder effectively accounts for channel nonlinearity.
- Achieved additional sensitivity gains of 0.7 dB for PAM-4 and 1 dB for PAM-8 compared to traditional decoders.
Conclusions:
- The proposed non-identical Gaussian distribution-based polar decoder significantly enhances PAM system performance.
- This approach offers a practical solution for improving the sensitivity of optical PAM interconnections.
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