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Nonlinear Digital Back Propagation compensator for coherent optical OFDM based on factorizing the Volterra Series
Gal Shulkind1, Moshe Nazarathy
1EE Department, Technion, Israel Institute of Technology, Haifa, Israel.
Optics Express
|June 6, 2013
Summary
We developed a new nonlinear compensator (NLC) for digital back-propagation (DBP) in optical OFDM receivers. This efficient method significantly improves nonlinear tolerance in optical communication systems.
Area of Science:
- Optical Communications
- Digital Signal Processing
- Nonlinear Optics
Background:
- Digital back-propagation (DBP) is crucial for mitigating nonlinear impairments in coherent optical OFDM systems.
- Existing Volterra Series Transfer Function (VSTF) based nonlinear compensation methods face high computational complexity.
- There is a need for efficient and accurate nonlinear compensation techniques to enhance receiver performance.
Purpose of the Study:
- To introduce an efficient and accurate nonlinear compensator (NLC) for DBP in coherent optical OFDM receivers.
- To reduce the computational complexity of nonlinear compensation based on VSTF.
- To improve the nonlinear tolerance of optical communication links.
Main Methods:
- A novel factorization procedure for the Volterra Series Transfer Function (VSTF) is proposed.
- The proposed method reduces the nonlinear compensation complexity from O(N^2) to 28 + 6logN.
- The NLC system was analyzed and simulated for performance evaluation.
Main Results:
- The proposed NLC system demonstrates superior performance compared to previous VSTF-based nonlinear compensation methods.
- The new method achieves an improved nonlinear tolerance of approximately 2 dB for the analyzed link.
- The computational complexity of the new method is 52% higher than a recent VSTF-based method, but offers significant performance gains.
Conclusions:
- The developed NLC provides an efficient and accurate solution for nonlinear compensation in DBP.
- This approach effectively enhances nonlinear tolerance in coherent optical OFDM systems.
- The trade-off between computational complexity and performance improvement is favorable for practical applications.
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