ELM-Based Impact Analysis of Meteorological Parameters on the Radio Transmission of X-Band over the Qiongzhou Strait of China  

作　　者：Cheng Yang Yafei Shi Jian Wang Jianguo Ma 

机构地区：[1]School of Microelectronics,Tianjin University,Tianjin 300072,China [2]Qingdao Institute for Ocean Technology,Tianjin University,Qingdao 266200,China [3]Shandong Engineering Technology Research Center of Ocean Information Awareness and Transmission,Qingdao 266200,China [4]School of Micro-and Nano-Electronics,Zhejiang University,Hangzhou 310058,China

出　　处：《China Communications》2023年第12期244-256,共13页中国通信（英文版）

基　　金：supported by National Natural Science Foundation of China(No.61821001);Science and Technology Key Project of Guangdong Province,China(2019B010157001)。

摘　　要：Communication in the evaporation duct layer is greatly affected by the variation of meteorological parameters.Based on the experimental result of the radio transmission of the X-band over the Qiongzhou Strait of China,the characteristic of the duct and its influence on the transmission effect is analyzed.The results indicate that the evaporation duct height(EDH)has a negative Spearman’s rank correlation of-0.90 with the relative humidity and a positive correlation coefficient of 0.84 with the wind speed.Based on the Extreme Learning Machine(ELM)network,we proposed a Met-ELM model that can provide efficient support in predicting propagation characteristics at nighttime.The predicted results of the MetELM model are consistent with the measurements;the root-mean-square-error is 1.66 dB,with the correlation coefficient reaching 0.96,while the proportion of mean absolute error less than 2 dB has reached81.41%.The data-derived Met-ELM model shows great accuracy in predicting propagation characteristics at nighttime,which also meets the acceptable requirements for radio wave propagation.

关 键 词：evaporation duct neural network prediction model propagation characteristic 

分 类 号：TN9[电子电信—信息与通信工程]