研究目的
To propose and analyze a novel joint polarization demultiplexing and IQ imbalance compensation scheme for coherent optical communications using global update.
研究成果
The proposed joint method for both Tx-IQ imbalance compensation and polarization demultiplexing demonstrates better steady state performance compared to the cascaded CMA and BASS algorithms in terms of MSE. It also shows good performance in terms of EVM and BER metrics. The algorithm's blind approach leads to fast speed of convergence regardless of the used modulation format, making it suitable for agile transmission scenarios.
研究不足
The proposed algorithm is not functional in the presence of strong differential group delay (DGD). The study does not consider polarization dependent loss (PDL) and fiber non-linearities.
1：Experimental Design and Method Selection:
The study employs numerical simulations to analyze the proposed joint polarization demultiplexing and IQ imbalance compensation scheme. The system model is described, and its related equations are derived. The approach is based on the EASI algorithm and uses the second order statistics of the observed signals.
2：Sample Selection and Data Sources:
The study uses pseudo random binary sequences (PRBSs) with lengths of 211 ? 1 for generating the signal along polarization X and Y, respectively. These sequences are shifted by half for decorrelation between X and Y polarizations.
3：List of Experimental Equipment and Materials:
The study involves a dual-polarization M -QAM coherent system with components such as digital-to-analog converters, polarization beam splitter (PBS), in-phase/quadrature modulators, and polarization beam combiner (PBC).
4：Experimental Procedures and Operational Workflow:
The modulated data are upsampled by 8 and pulse-shaped using a square-root raised cosine filter with a roll off of 0.5. A delayed version of the obtained signal represents the second polarization. The generated signals are converted into analog signals and used as tributaries in a polarization division multiplexing system.
5：A delayed version of the obtained signal represents the second polarization. The generated signals are converted into analog signals and used as tributaries in a polarization division multiplexing system.
Data Analysis Methods:
5. Data Analysis Methods: The performance of the proposed algorithm is evaluated in terms of mean square error (MSE), error vector magnitude (EVM), and bit error rate (BER).
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