In propagation analysis it is assumed that existing shadowing losses are due to obstacles through the propagation path between two transceivers. Although classically modelled as a log-normal random variable, special attention is being recently put into models where shadowing is considered as a consequence of an Underlying Spatial Loss Field (USLF) accounting for attenuation, under Radio Channel Tomography (RCT) framework. In this paper we address the task of making shadowing predictions for transceiver locations, without the need of measurements for those locations. A spatial loss field estimate is produced from measurements for a given set of transceiver locations, and used as an input to predict the shadowing at another set of transceiver locations. Moreover, new weighting functions are proposed and developed from channel parameter estimates of the propagation paths.

中文翻译：

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室外微蜂窝的空间损失场


在传播分析中，假设现有的阴影损耗是由于两个收发器之间的传播路径上的障碍物造成的。尽管传统上建模为对数正态随机变量，但最近人们特别关注模型，其中在无线电信道断层扫描 (RCT) 框架下，阴影被认为是导致衰减的基础空间损失场 (USLF) 的结果。在本文中，我们解决了对收发器位置进行阴影预测的任务，而不需要对这些位置进行测量。空间损耗场估计是根据给定的一组收发器位置的测量产生的，并用作预测另一组收发器位置处的阴影的输入。此外，根据传播路径的信道参数估计提出并开发了新的加权函数。