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面向远海场景的统计信道建模与性能分析OA

Statistical channel modeling and performance analysis for offshore scenarios

中文摘要英文摘要

目前对海洋通信的研究多集中于近海场景的信道建模,且较少考虑真实气象条件,针对远海场景的研究仍需进一步完善.为此,文中基于山东省黄海海域的实测气象数据,构建了利用海上蒸发波导现象的超视距统计信道模型,该模型采用有理数函数模型对海洋环境中电磁波的传播特性进行描述.同时,为提高模型的准确性,使用非线性最小二乘法对模型系数进行修正和优化.仿真分析表明,该信道模型在周边海域对电磁波传播路径损耗的预测更为精确,冬季和夏季的预测均方根误差均小于表面波导模型和自由空间模型,并在无人机辅助海上通信系统中表现出更为优异的性能.

Currently,research on maritime communications is predominantly focused on channel modeling in nearshore scenarios,with limited consideration of real meteorological conditions,and studies targeting offshore scenarios still require further improvement.In view of this,a statistical over-the-horizon channel model utilizing the maritime evaporation duct phenomenon is constructed based on the measured meteorological data from the Yellow Sea region of Shandong Province.In this model,a rational function framework is employed to describe the propagation characteristics of electromagnetic waves in the marine environment.Additionally,to enhance the accuracy of the model,the coefficients of the model are corrected and optimized with the nonlinear least square method.Simulation analysis demonstrates that the channel model provides more accurate prediction of electromagnetic wave propagation path loss in the surrounding maritime areas,with the root-mean-square error(RMSE)of prediction for both winter and summer being lower than those of the surface duct model and the free-space model.Moreover,it exhibits superior performance in UAV-assisted maritime communication systems.

李瑞彤;林霏;季翔;孙浩;张颖颖;李军;刘海英

齐鲁工业大学(山东省科学院)信息与自动化学院,山东 济南 250353齐鲁工业大学(山东省科学院)信息与自动化学院,山东 济南 250353齐鲁工业大学(山东省科学院)信息与自动化学院,山东 济南 250353齐鲁工业大学(山东省科学院)信息与自动化学院,山东 济南 250353山东省科学院海洋仪器仪表研究所,山东 青岛 266075齐鲁工业大学(山东省科学院)信息与自动化学院,山东 济南 250353齐鲁工业大学(山东省科学院)信息与自动化学院,山东 济南 250353

信息技术与安全科学

统计信道模型海上通信蒸发波导实测气象数据有理函数模型超视距传输抛物线方程路径损耗

statistical channel modelmaritime communicationevaporation ductmeasured meteorological datarational function modelover-the-horizon transmissionparabolic equationpath loss

《现代电子技术》 2026 (1)

15-20,6

国家自然科学基金项目(U2006222)山东省科技型中小企业创新能力提升工程项目(2023TSCG0159,2024TSGC0650)国家重点研发计划项目(2024YFE0108700)山东省重点研发计划项目(2023CXPT015)齐鲁工业大学(山东省科学院)科教产项目(2024GH10)泰山学者工程项目

10.16652/j.issn.1004-373x.2026.01.003

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