Saggese Fabio, Lottici Vincenzo, Giannetti Filippo
Department of Electronic System, Aalborg University, 9220 Aalborg, Denmark.
Department of Information Engineering, University of Pisa, 56122 Pisa, Italy.
Sensors (Basel). 2022 Sep 16;22(18):7019. doi: 10.3390/s22187019.
The demand for accurate rainfall rate maps is growing ever more. This paper proposes a novel algorithm to estimate the rainfall rate map from the attenuation measurements coming from both broadcast satellite links (BSLs) and commercial microwave links (CMLs). The approach we pursue is based on an iterative procedure which extends the well-known GMZ algorithm to fuse the attenuation data coming from different links in a three-dimensional scenario, while also accounting for the virga phenomenon as a rain vertical attenuation model. We experimentally prove the convergence of the procedures, showing how the estimation error decreases for every iteration. The numerical results show that adding the BSL links to a pre-existent CML network boosts the accuracy performance of the estimated rainfall map, improving up to 50% the correlation metrics. Moreover, our algorithm is shown to be robust to errors concerning the virga parametrization, proving the possibility of obtaining good estimation performance without the need for precise and real-time estimation of the virga parameters.
对精确降雨率地图的需求日益增长。本文提出了一种新颖的算法，用于根据来自广播卫星链路（BSL）和商业微波链路（CML）的衰减测量值来估计降雨率地图。我们采用的方法基于一种迭代过程，该过程扩展了著名的GMZ算法，以便在三维场景中融合来自不同链路的衰减数据，同时还将virga现象作为降雨垂直衰减模型进行考虑。我们通过实验证明了该过程的收敛性，展示了每次迭代时估计误差是如何减小的。数值结果表明，将BSL链路添加到现有的CML网络中可提高估计降雨地图的精度性能，使相关指标提高多达50%。此外，我们的算法被证明对virga参数化方面的误差具有鲁棒性，证明了无需对virga参数进行精确实时估计就能获得良好估计性能的可能性。
