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

机译:基于法国-法国整体预报系统PEARP的卫星通信降雨衰减预测模型

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This paper presents anexample of the usage of ensemble weather forecasting for the control ofsatellite-based communication systems. Satellite communication systems becomeincreasingly sensitive to weather conditions as their operating frequencyincreases to avoid electromagnetic spectrum congestion and enhance theircapacity. In the microwave domain, electromagnetic waves that are conveyinginformation are attenuated between the satellite and Earth terminals in thepresence of hydrometeors (mostly rain drops and more marginally clouddroplets). To maintain a reasonable level of service availability, even withadverse weather conditions considering the scarcity of amplification power inspacecraft, fade mitigation techniques have been developed. The general ideabehind those fade mitigation techniques is to reroute, change thecharacteristics or reschedule the transmission in the case of too-significantpropagation impairments. For some systems, a scheduling on how to use thosemechanisms some hours in advance is required, making assumptions on thefuture weather conditions affecting the link. To this aim the use of weatherforecast data to control the attenuation compensation mechanisms seems ofparticular interest to maximize the performances of the communication linksand hence of the associated economic value. A model to forecast theattenuation on the link based on forecasted rainfall amounts fromdeterministic or ensemble weather forecasting is presented and validated. Ina second phase, the model's application to a simplified telecommunicationsystem allows us to demonstrate the valuable contribution of weatherforecasting in the system's availability optimization or in the system'sthroughput optimization. The benefit of using ensemble forecasts rather thandeterministic ones is demonstrated as well.
机译:本文提供了一个示例,将整体天气预报用于基于卫星的通信系统的控制。随着卫星通信系统的工作频率增加,以避免电磁频谱拥塞并增强其容量,其对天气条件的敏感性变得越来越高。在微波领域,在存在水凝物的情况下(大部分为雨滴,而少量为云滴),正在传递信息的电磁波在卫星和地球终端之间被衰减。为了维持合理的服务可用性水平,即使考虑到放大功率不足的航天器的不利天气条件,也已经开发了衰减缓解技术。这些消隐缓解技术背后的总体思路是,在传播障碍严重的情况下,重新路由,更改特性或重新安排传输。对于某些系统,需要提前几个小时安排使用这些机制的时间表,并假设会影响链路的未来天气状况。为了这个目的,使用天气预报的数据来控制衰减补偿机制似乎特别令人感兴趣,以最大化通信链路的性能并因此最大化相关的经济价值。提出并验证了基于确定性或整体天气预报的降雨量预测链路衰减的模型。在第二阶段,该模型在简化电信系统中的应用使我们能够证明天气预报在系统可用性优化或系统吞吐量优化中的宝贵贡献。还表明了使用整体预测而不是确定性预测的好处。

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