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Published on: March 20, 2017
Nonlinearity mitigation for high-speed optical OFDM transmitters using digital pre-distortion.
Yuan Bao1, Zhaohui Li, Jianping Li
1Institute of Photonics Technology, Jinan University, Guangzhou, China.
This study introduces a digital pre-distortion (DPD) algorithm to reduce nonlinear distortions in optical modulators for high-speed optical orthogonal frequency-division multiplexing (OOFDM) systems. The DPD method effectively linearizes electro-absorption modulated lasers (EMLs) and Mach-Zehnder modulators (MZMs), enhancing signal quality.
Area of Science:
- Optical communications
- Signal processing
Background:
- Optical orthogonal frequency-division multiplexing (OOFDM) signals are susceptible to nonlinear distortions from optical modulators.
- These distortions degrade the performance of high-speed optical communication systems.
Purpose of the Study:
- To propose and experimentally validate a digital pre-distortion (DPD) algorithm for linearizing optical modulators.
- To improve the performance of high-speed OOFDM transmitters by compensating for modulator nonlinearities.
Main Methods:
- An adaptive DPD algorithm with a learning structure was employed to determine the inverse transfer function of modulators.
- Polynomial modeling was used to represent the modulator's transfer function.
- Experiments were conducted using electro-absorption modulated lasers (EMLs) and Mach-Zehnder modulators (MZMs) with OOFDM signals up to 30-Gb/s.
Main Results:
- The DPD algorithm successfully compensated for nonlinear distortions introduced by optical modulators.
- Performance improvements were demonstrated, with and without considering the memory effects in the DPD model.
- A substantial improvement in the optical modulation index was achieved.
Conclusions:
- Digital pre-distortion is an effective technique for linearizing optical modulators in high-speed OOFDM systems.
- The proposed DPD algorithm can significantly enhance the quality and performance of optical communication signals.
- Considering memory effects in the DPD model further optimizes distortion compensation.
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