频道质量预测得到了高吞吐量卫星和5G系统的新算法的帮助
Ali M Al-Saegh1, Esraa Mousa Ali2, Mariam Qutaiba Abdalrazak3
1Department of Space Technology Engineering, Electrical Engineering Technical College, Middle Technical University, Baghdad, Iraq.
Scientific reports
|October 5, 2025
概括
准确的卫星频道模型对于高通量卫星 (HTS) 和5G系统至关重要. 这项研究引入了一个新的预测模型和数据库来分析雨引起的信号损害,提高通信链路的可靠性.
科学领域:
- 卫星通信工程 卫星通信工程
- 无线电波传播的传播方式
- 信号处理 信号处理
背景情况:
- 由于降雨变化,现有的卫星频道模型缺乏准确性.
- 高通量卫星 (HTS) 和5G服务的进步需要雨水意识的通道建模.
研究的目的:
- 开发一个预测模型,用于雨引起的HTS和5G卫星到陆地通信通道的损害.
- 描述雨引起的衰减及其对信号质量的影响.
主要方法:
- 整合了三种新的算法来计算雨特异衰减,斜路径长度和整体衰减.
- 对不同调制方案的信号载体与噪声比率和符号误差率的分析.
- 开发一个新的数据库,用于各种频率和降雨强度的HTS通道上的雨水诱导衰减.
主要成果:
- 在降雨期间观察到的HTS-to-land淡化水平和信号质量的大幅波动.
- 通信链路中断的可能性,特别是在高阶调制方案中.
- 使用实际降雨量测量的模型验证.
结论:
- 拟议的模型提供了分析雨水引起的道损害的实用方法.
- 准确的建模对于未来HTS和5G卫星系统的有效设计和部署至关重要.
- 了解降雨色对于确保可靠的卫星通信链路至关重要.
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