完全利用飞行员辅助的数字信号处理与状态修剪MLSD辅助的自适应符号检测用于符号率采样连贯的光学互连
Optics express
|July 30, 2025
概括
本研究介绍了用于高速光学互连的节能数字信号处理 (DSP) 架构. 它大大降低了使用试点辅助处理的符号率采样系统的复杂性和功耗.
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
- 集成电路设计 集成电路设计
背景情况:
- 在高速光学互连中,符号率采样对于降低数字信号处理 (DSP) 功耗至关重要.
- 挑战包括对模拟数字转换器 (ADC) 采样阶段错误的敏感性和在尼奎斯特约束下信号退化.
- 现有的解决方案往往在要求高的光学互连应用程序的功率效率和复杂性方面扎.
研究的目的:
- 为FTN形状的16QAM系统提出一个硬件高效的DSP架构,使功率高效,符号率采样一致的光学互连成为可能.
- 为了利用飞行员辅助处理来增强载体恢复和自适应符号检测.
- 为了实现比特错误率 (BER) 和计算复杂性之间的最佳平衡.
主要方法:
- 开发一种新的试点辅助自适应符号检测框架 (PA-SDF),包括状态修剪最大概率序列检测 (MLSD).
- 实施一个偏振-联合错位试点计划,以改善载体恢复 (CR).
- 基于模式切换决策指标 (MSDM) 的单符号检测 (SSD) 和多符号检测 (MSD) 之间的动态切换.
主要成果:
- 在80/90/100 Gbaud时,证明了0.7dB的接收器灵敏度改善.
- 实现了超过95%的乘数和加法器使用减少,用于运营商恢复计划.
- 将MLSD复杂度降低到传统方法的7.72%,其中74%的符号通过低复杂度SSD处理.
结论:
- 拟议的试点辅助符号率采样DSP架构为下一代,电力受限的数据中心提供了可行的解决方案.
- 实现了硬件复杂性和功耗的显著降低.
- 该架构有效地解决了高速光学互连中灵敏度和信号降解的挑战.
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