研究目的
To propose and investigate a joint compensation scheme for phase noise and polarization cross-talk in coherent optical systems using pilot symbols aided adaptive Kalman filter.
研究成果
The proposed pilot symbol-aided AKF scheme significantly improves convergence speed, tolerance to initial Q values, and tracking performance for polarization rotation and phase noise in coherent optical systems. It offers lower computational complexity compared to traditional methods like CMA+BPS, making it suitable for dynamic optical networks.
研究不足
The study is limited to 16QAM modulation due to experimental constraints; 64QAM is not investigated. The scheme may require higher device bandwidth for certain format ratios, potentially reducing spectrum efficiency. The experimental setup uses a specific 10 km fiber link, which may not represent all real-world scenarios.
1：Experimental Design and Method Selection:
The study uses numerical simulations and experimental demonstrations to evaluate the proposed adaptive Kalman filter (AKF) scheme. The AKF is designed to adaptively adjust the Q parameter based on signal conditions, with pilot QPSK symbols inserted into 16QAM signals to improve convergence and tracking.
2：Sample Selection and Data Sources:
Simulations involve generating signals with specific parameters (e.g., format ratios, OSNR, polarization rotation rates). The experimental setup uses a 10 Gbaud dual-polarization 16QAM system with a 10 km fiber link.
3：List of Experimental Equipment and Materials:
Equipment includes an arbitrary waveform generator (AWG7122C, Tektronix), optical I/Q modulator, narrow linewidth laser, 3 dB coupler, digital serial analyzer (DSA72004C), and offline digital signal processor (DSP). Materials include optical fibers and electrical components for signal generation and detection.
4：Experimental Procedures and Operational Workflow:
In the transmitter, electrical signals are generated and modulated optically. After transmission, signals are detected coherently, sampled, and processed offline using DSP for timing recovery, frequency offset estimation, and the proposed AKF algorithm. Dynamic polarization rotation is simulated digitally.
5：Data Analysis Methods:
Performance is analyzed using bit error rate (BER), mean square error (MSE), and computational complexity comparisons with methods like CMA+BPS. Statistical analysis involves varying parameters such as OSNR, polarization rotation frequency drift rate, and laser linewidth.
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