理论概率分布模型和基于在数字子载体复杂化系统中PAPR的交联DFT扩散的减少技术
Optics express
|November 22, 2024
概括
一个新的理论模型准确地预测了数字子载波复杂化 (DSCM) 系统中的峰值与平均功率比 (PAPR). 一个交叉的DFT-Spread DSCM (I-DFT-S-DSCM) 方案有效地降低了PAPR,并提高了比特错误率的性能.
科学领域:
- 光学通信是指光学通信.
- 信号处理 信号处理
- 信息理论 信息理论
背景情况:
- 峰值到平均功率比 (PAPR) 是数字子载体复杂化 (DSCM) 系统中的一个关键参数,影响功率效率和性能.
- 现有的文献缺乏在DSCM系统中用于PAPR的理论概率分布模型.
- 高的PAPR可以降低光纤通信系统中的比特错误率 (BER) 性能.
研究的目的:
- 在DSCM系统中为PAPR提出一种新的理论概率分布模型.
- 引入一个交联离散里叶变换扩散DSCM (I-DFT-S-DSCM) 方案来减少PAPR.
- 在64GBaud 16-QAM DSCM系统中评估拟议模型和方案的有效性.
主要方法:
- 为DSCM开发一个理论PAPR概率分布模型.
- 实施I-DFT-S-DSCM计划,引入子载体之间的可逆相关性.
- 使用64GBaud16-QAM DSCM系统进行实验验证,具有不同的子载波数量 (4,8,16).
- 在100公里的标准单模光纤 (SSMF) 上进行传输测试,以评估BER性能.
主要成果:
- 拟议的PAPR模型在DSCM和I-DFT-S-DSCM中实现了补充累积分布函数 (CCDF) 的平均平方误差 (MSE) 在10-5以下.
- 与传统的DSCM相比,I-DFT-S-DSCM方案将PAPR降低了高达1.44dB.
- 在100公里的SSMF传输中,I-DFT-S-DSCM在7%的HD-FEC值下实现了~1.1dB的PAPR降低,并提高了~0.7dB的接收器灵敏度.
结论:
- 开发的理论模型准确地描述了DSCM和I-DFT-S-DSCM系统中的PAPR.
- I-DFT-S-DSCM方案提供了一个可行的解决方案,可以在高速光通信系统中显著减少PAPR.
- 拟议的方案提高了整体系统性能,包括接收器灵敏度,这对于长途光纤传输至关重要.
相关概念视频
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