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作者机构:Xidian Univ Sch Phys & Optoelect Engn Xian 710071 Peoples R China CRIRP Natl Key Lab Electromagnet Environm Qingdao Peoples R China
出 版 物:《IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION》 (IEEE Trans Antennas Propag)
年 卷 期:2016年第64卷第3期
页 面:1071-1079页
核心收录:
学科分类:0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学]
基 金:National Natural Science Foundation of China (NSFC) National Key Laboratory of Electromagnetic Environment
主 题:Average year optimization algorithm prediction model trans-horizon propagation transmission loss troposcatter
摘 要:In this article, a novel semiempirical average annual troposcatter transmission loss prediction model is presented. The model is generated by optimizing the correlation coefficients of propagation path conditions utilizing the modern optimization algorithm. The statistical relativities of troposcatter transmission loss as captured by changing frequency, path length, scatter angle, and meteorological condition are each analyzed using the terrestrial trans-horizon propagation loss data banks released by the International Telecommunication Union (ITU). For the percentages of time transmission loss not falling below 50%, the model is combined with the model of anomalous propagation mechanism introduced in the Recommendation ITU-R P.2001. The prediction results of this new troposcatter model are compared with other troposcatter models and with the trans-horizon propagation loss data banks. The comparisons show that the new model has a better estimated accuracy.