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Retrieving rainfall fields through tomographic processing applied to radio base network signals

机译：通过应用于无线电基础网络信号的层析成像处理检索降雨场

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As shown in the past years by researchers at the University of Florence, rainfall rate can be estimated in real time by means of tomographic processing applied to power attenuation measurements made simultaneously along microwave links. In this paper, we focus on the possibility to exploit the 'opportunity signals' provided by radio-base station networks for mobile communication systems. We describe a new tomographic algorithm that has been specifically developed for such kind of networks in urban areas, where a high number of microwave connections is typically possible. We describe the performance of the algorithm after having tested it on a 2 hours simulated rainfall event based on a sequence of real weather radar observations and on three kind of link networks, symmetric with lower link density and asymmetric with lower and higher density. We considered 1 i. GHz for the test carrier frequency of the radio-base network.
机译：如佛罗伦萨大学研究人员在过去几年中所显示的，可以通过将层析成像处理应用于沿微波链路同时进行的功率衰减测量来实时估计降雨率。在本文中，我们关注于利用无线电基站网络为移动通信系统提供的“机会信号”的可能性。我们描述了一种新的层析成像算法，该算法是专门针对城市地区此类网络开发的，在该地区通常可能需要大量的微波连接。我们根据一系列实际天气雷达观测结果和两种链路网络（较低链路密度对称且较低密度和较高密度非对称）对2小时的模拟降雨事件进行测试后，描述算法的性能。我们认为1 i。无线电基站网络的测试载波频率的GHz。

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