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Rain attenuation prediction model for satellite communications based on the Meteo-France ensemble prediction system PEARP

机译:基于Meteo-France集合预测系统珍珠的卫星通信雨衰减预测模型

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This paper presents an example of the usage of ensemble weather forecasting for the control of satellite-based communication systems. Satellite communication systems become increasingly sensitive to weather conditions as their operating frequency increases to avoid electromagnetic spectrum congestion and enhance their capacity. In the microwave domain, electromagnetic waves that are conveying information are attenuated between the satellite and Earth terminals in the presence of hydrometeors (mostly rain drops and more marginally cloud droplets). To maintain a reasonable level of service availability, even with adverse weather conditions considering the scarcity of amplification power in spacecraft, fade mitigation techniques have been developed. The general idea behind those fade mitigation techniques is to reroute, change the characteristics or reschedule the transmission in the case of too-significant propagation impairments. For some systems, a scheduling on how to use those mechanisms some hours in advance is required, making assumptions on the future weather conditions affecting the link To this aim the use of weather forecast data to control the attenuation compensation mechanisms seems of particular interest to maximize the performances of the communication links and hence of the associated economic value. A model to forecast the attenuation on the link based on forecasted rainfall amounts from deterministic or ensemble weather forecasting is presented and validated. In a second phase, the model's application to a simplified telecommunication system allows us to demonstrate the valuable contribution of weather forecasting in the system's availability optimization or in the system's throughput optimization. The benefit of using ensemble forecasts rather than deterministic ones is demonstrated as well.
机译:本文介绍了对控制卫星通信系统的集合天气预报的使用示例。由于其运行频率增加,卫星通信系统对天气条件越来越敏感,以避免电磁频谱拥塞并增强其容量。在微波结构域中,在水中的存在(主要是雨滴和更积极的云液滴)之间,传送信息的电磁波在卫星和地球端子之间衰减。为了保持合理的服务水平,即使考虑到航天器中放大功率稀缺的恶劣天气条件,已经开发出褪色的缓解技术。褪色缓解技术背后的一般想法是重新路由,在太大的传播损伤的情况下改变特征或重新安排传输。对于某些系统,需要提前几个小时使用这些机制的调度,使得对影响迄今为止天气预报数据的未来天气条件的假设来控制衰减补偿机制似乎特别感兴趣通信链路的性能以及相关的经济价值。提出和验证了一种预测基于预测降雨量的链接衰减的模型,并验证了来自确定性或集合天气预报的预测。在第二阶段,该模型的应用于简化电信系统允许我们展示天气预报在系统可用性优化中的有价值贡献或系统的吞吐量优化。也可以展示使用集合预测而不是确定性的益处。

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