盲点极化 形状的QAM信号的解复杂化,辅助时间相关性
Vinod Bajaj1, Raf Van de Plas2, Sander Wahls3
1Delft Center for Systems and Control, Delft University of Technology, 2628 CD, Delft, The Netherlands.
概括
新的方法增强了对概率星座塑造 (PCS) 信号的极化解复合. 频域联合对角化概率感知多模块算法 (FDJD-pr-MMA) 有效地分离偏振并补偿偏振模式分散 (PMD).
科学领域:
- 光学通信系统 光学通信系统
- 对于光学网络的信号处理.
- 先进的调制技术可以实现.
背景情况:
- 概率星座塑造 (PCS) 允许在光通信中灵活调整速度和范围.
- 传统的盲点偏振解复合算法因其高斯式分布而难以与PCS-方程振幅调制 (QAM) 信号相抗衡.
- 现有的扩展算法需要非高斯统计数据来初始化,这限制了它们的适用性.
研究的目的:
- 提出一种用于PCS-QAM信号的盲点偏振解复合的新方法.
- 在发射器引入时间相关性,以改善接收器的偏振分离.
- 增强现有的联合对角化算法,使用概率意识的多模块方法来提高性能.
主要方法:
- 在发射器引入时间相关性.
- 开发频域 (FD) 联合对角化 (JD) 概率感知多模块算法 (pr-MMA).
- 通过用pr-MMA取代标准MMA,扩展JD-MMA.
- 在一级极化模式分散 (PMD) 频道上进行评估,具有可变的PCS和差分组延迟 (DGD).
主要成果:
- 拟议的JD-pr-MMA成功地将PCS信号在10%的DGD和18dB SNR/pol.下去复杂化,其性能优于传统的CMA-MMA.
- 该FDJD-pr-MMA证明了对中度PMD影响的稳定性,处理DGD高达符号周期的40%.
- FDJD-pr-MMA有效地将PMD频道与DGD等同,直到符号周期的20%.
结论:
- 拟议的FDJD-pr-MMA提供了一个强大的解决方案,用于PCS-QAM信号的盲点极化解复.
- 该方法有效地弥补光通信系统中中度PMD损伤.
- 与传统算法相比,这种方法在具有挑战性的通道条件下显著改善了信号恢复.
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