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面向智能内河航运的无线信道特性研究综述:测量方法与建模技术OA

A Survey on Wireless Channel Characteristics for Intelligent Inland Shipping:Measurement and Modeling Techniques

中文摘要英文摘要

随着智能航运系统的快速发展,高效可靠的无线通信已成为支撑船舶状态感知、航道环境监测及协同作业的关键基础技术之一.基于研究现状综述了面向智能内河航运的无线信道特性研究进展,揭示其区别于陆地和近海环境的独特挑战:复杂水陆混合拓扑导致的带状广域覆盖、航行环境与自然条件、密集建筑物(桥梁)以及障碍物.其中选取国内外典型内河水道为代表性场景,通过对现有通信技术在内河场景适应性瓶颈的分析,指出传统信道模型难以准确表征内河特有的传播机制.重点围绕内河信道测量与建模2个核心方向展开,同时,梳理典型频段与航段差异,比较统计建模与几何建模适用边界,并归纳关键参数获取与验证流程要点,供后续研究.在测量层面,归纳了空-天-水链路的稀疏性、船舶运动引起的不稳定性及蒸汽波导效应3个特征,总结了当前测量方案在动态轨迹跟踪、局地化气象耦合及非可视路径高分辨率捕获等方面的不足;在建模层面,评述了适用于内河环境的大尺度衰落模型与小尺度衰落模型,指出现有模型对船舶晃动与水面反射动态耦合、桥梁峡谷等受限场景精细化表征的局限性.构建覆盖内河全域的高可靠通信网络亟需突破环境驱动的高保真信道建模、多频段传播机制解析及"岸-船-云"协同架构设计等关键技术.

As intelligent shipping systems continue to develop rapidly,efficient and reliable wireless communica-tions become one of the key enabling technologies for supporting vessel state sensing,waterway environmental monitoring,and collaborative operations.Based on the existing body of research,this paper reviews recent advances in wireless channel characterization for intelligent inland shipping and highlights the unique challenges that distin-guish inland waterways from terrestrial and near-shore environments,including corridor-like wide-area coverage in-duced by complex land-water mixed topologies,navigation environments and natural conditions,and dense man-made structures(e.g.,bridges)and other obstructions.Representative inland waterways worldwide are exam-ined,and by analyzing the adaptability bottlenecks of current communication technologies in inland scenarios,it is shown that conventional channel models cannot accurately capture the propagation mechanisms specific to inland waterways.The review focuses on two core aspects:channel measurement and channel modeling,while also sum-marizing differences across typical frequency bands and waterway segments,comparing the applicability boundar-ies of statistical and geometry-based modeling approaches,and outlining key procedures for parameter acquisition and validation to inform future research.On the measurement side,three major characteristics are identified,namely the sparsity of air-space-water links,the instability caused by vessel motion,and evaporation-duct effects;the limita-tions of existing measurement schemes are then discussed in terms of dynamic trajectory tracking,localized meteo-rological coupling,and high-resolution capture of non-line-of-sight paths.On the modeling side,large-scale and small-scale fading models applicable to inland environments are reviewed,and the limitations of existing models in finely characterizing the coupled dynamics of vessel-induced motion and time-varying water-surface reflections,as well as constrained scenarios such as bridge canyons,are emphasized.Finally,building a highly reliable communica-tion network with full-coverage capability for inland waterways calls for breakthroughs in environment-driven high-fidelity channel modeling,multi-band propagation mechanism analysis,and the design of coordinated"shore-ship-cloud"architectures.

张晶;胡文飞;张清扬;李昌振;陈默子;陈梦达

湖北省水电工程智能视觉监测重点实验室 湖北 宜昌 443002||三峡大学计算机与信息学院 湖北 宜昌 443002湖北省水电工程智能视觉监测重点实验室 湖北 宜昌 443002||三峡大学计算机与信息学院 湖北 宜昌 443002长江宜昌通信管理局 湖北 宜昌 443002武汉理工大学信息工程学院 武汉 400070武汉理工大学航运学院 武汉 430063||武汉理工大学水路交通控制全国重点实验室 武汉 430063武汉理工大学船海与能源动力工程学院 武汉 430063

交通工程

内河航运系统无线信道测量无线信道建模智能航道传播特性

inland navigation systemswireless channel measurementswireless channel modelingintelligent wa-terwayspropagation characteristics

《交通信息与安全》 2026 (1)

1-12,36,13

国家自然科学基金项目(52401423)、湖北省重点研发计划项目(2023BAB052)、湖北省国际合作项目(2024EHA005)资助

10.3963/j.jssn.1674-4861.2026.01.001

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