Abstract
To estimate the precipitation amount from communication signal attenuation is a relatively novel and promising method for its good measurement accuracy and high spatial-temporal resolution. In this paper, we will introduce a 5G MR information precipitation estimation algorithm to predict the precipitation. The algorithm comprises two stages: precipitation database construction and precipitation estimation. During the first stage, the precipitation database undergoes pretreatment through limiting and moving average filtering. In the subsequent online matching stage, the rain intensity is calculated using the support vector machine (SVM) algorithm. The results show that the average accuracy rate has reached 94.84%.
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Xu, L. et al. (2024). A New Method for Precipitation Estimation Based on 5G MR Information. In: Wang, Y., Zou, J., Xu, L., Ling, Z., Cheng, X. (eds) Signal and Information Processing, Networking and Computers. ICSINC 2023. Lecture Notes in Electrical Engineering, vol 1188. Springer, Singapore. https://doi.org/10.1007/978-981-97-2124-5_46
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DOI: https://doi.org/10.1007/978-981-97-2124-5_46
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