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首页> 外文期刊>IEEE Geoscience and Remote Sensing Letters >Spatial Reconstruction of Rain Fields From Wireless Telecommunication Networks—Scenario-Dependent Analysis of IDW-Based Algorithms
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Spatial Reconstruction of Rain Fields From Wireless Telecommunication Networks—Scenario-Dependent Analysis of IDW-Based Algorithms

机译：无线电信网络雨田的空间重建 - 基于IDW的算法依赖性分析

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摘要

In the last decade, commercial microwave links (CMLs) have been treated as opportunistic near-ground rain sensors, and successfully used for the retrieval of 2-D near-ground rain fields in several countries. In spite of the path integration of a CML, most studies represent the rainfall measured by a CML as a single virtual rain gauge (VRG) in the center of the path. Here, we study the performance of spatial reconstruction of rain fields by an inverse distance weighting (IDW) spatial interpolation method. We compare the case where each CML is represented by a single VRG with the case where it is represented by several VRGs along its path. A synthetic rain field was produced, simplified to a single rain cell, and sampled by a synthetic CML network that was built according to statistics of actual CMLs. A Monte Carlo simulation study yielded a quantitative and specific set of metrics showing that the rain-retrieval results are scenario-dependent and can be used to design a rain-retrieval system. In particular, we show that if the rain-cell dimensions are in the order of the average length of the CMLs, using several VRG with the iterative algorithm can significantly improve the retrieval performance, whereas the performance gain is small otherwise.
机译：在过去的十年中，商业微波链接（CMLS）被视为机会近地雨传感器，并成功地用于若干国家的2-D近地雨田的检索。尽管CML的路径集成，但大多数研究代表了CML在路径中心中作为单个虚拟雨量仪（VRG）测量的降雨。在这里，我们通过逆距离加权（IDW）空间插值方法研究雨田的空间重建的性能。我们将每个CML由单个VRG表示的情况进行比较，其中沿其路径的几个VRG表示。生产合成雨原，简化为单个雨细胞，并通过根据实际CMLS的统计数据建立的合成CML网络进行采样。蒙特卡罗仿真研究产生了一种定量和特定的度量标准，表明雨水检索结果是情景依赖性，可用于设计雨水检索系统。特别地，我们表明，如果雨小区尺寸是CMLS的平均长度的顺序，则使用几个VRG与迭代算法可以显着提高检索性能，而性能增益否则则为小。

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