低复杂度的集群上升的-cosine优化的FIR时间域数字反向传播,用于连贯的光学传输系统
Optics express
|September 23, 2025
概括
这项研究引入了一种低复杂度的数字反向传播算法,它结合了升高位数优化有限冲动响应 (RC-FIR) 过和系数聚类. 这种方法有效地弥补光学系统中的色谱分散和非线性损害,减少计算负载而不会牺牲准确性.
科学领域:
- 光学通信是指光学通信.
- 数字信号处理 数字信号处理
背景情况:
- 数字反向传播 (DBP) 对于弥补连贯光学系统的损害至关重要.
- 像FIR TD-DBP和FD-DBP这样的现有方法在准确性和计算复杂性方面存在局限性.
- 颜色分散 (CD) 和非线性损伤显著降低信号质量.
研究的目的:
- 开发一个低复杂度的时间域数字反向传播 (TD-DBP) 算法,用于联合CD和非线性减值补偿.
- 为了克服FIR TD-DBP中的精度降低和FD-DBP中的高计算开销.
- 在连贯光学系统中提高数字非线性均等效率.
主要方法:
- 提出了一个集群的RC-FIR TD-DBP算法,集成RC优化的FIR过和k-means++系数集群.
- 采用了优化的RC窗口功能,以提高接系数并抑制带外光谱泄漏.
- 利用k-means++集群来减少冗余的过系数和计算复杂性.
主要成果:
- 模拟显示,与非集群的FIR TD-DBP相比,集群RC-FIR TD-DBP的复杂性降低了55.5%,Q因子处罚最小.
- 拟议的算法显示复杂性比FD-DBP低33.3%,在160 Gb/s系统中具有可比的传输质量.
- 实验结果证实了显著的复杂性降低 (58.0%),在80Gb/s系统中,Q因子的惩罚是可以忽略不计的.
结论:
- 集群的RC-FIR TD-DBP算法有效地弥补了CD和非线性损伤,并降低了计算复杂度.
- 拟议的方法克服了数字非线性均等化中的计算效率和补偿精度之间的权衡.
- 这种方法为提高高速连贯光通信系统的性能提供了一个实际的解决方案.
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