陆基海洋无线信道测量与建模综述

      A survey of land-based maritime wireless channel measurements and modeling

      • 摘要: 海洋经济的持续发展与海洋数字化水平的持续提升,对高稳定、高可靠、广覆盖海洋通信能力提出了更高要求。因此,精确的海洋无线信道建模作为通信系统设计与性能优化的关键理论基础至关重要。本文基于大量文献与实测数据的深入调研,对陆基海洋无线信道的测量方法、传播特性及建模研究进展进行了系统综述。首先,围绕S波段至毫米波频段,全面梳理了岸-船、船-船、岸/船-海洋基础设施、空-海及蒸发波导等典型海洋通信场景下的实地信道测量工作,系统性总结了主流信道测量平台与测试系统的技术演进路径。其次,通过深入剖析海面反射、散射及地球曲率等关键传播机理,揭示了海洋信道作为动态时变系统的大尺度与小尺度特性。在此基础上,本文对确定性建模、统计性建模、混合型建模及人工智能辅助建模等四类海洋信道建模技术进行了对比评估与适用性分析。最后,结合当前研究所面临的挑战,展望了面向6G空天地海一体化网络的信道建模、智慧海洋通感融合以及基于长期观测的多频段、多链路协同建模等未来发展方向。

         

        Abstract: The continuous development of the marine economy and the ongoing enhancement of marine digitalization have placed increasingly higher demands on marine communication capabilities with high stability, reliability, and wide coverage. Therefore, accurate ocean wireless channel modeling, as a critical theoretical foundation for communication system design and performance optimization, is of paramount importance. Based on extensive literature review and in-depth investigation of measured data, this paper presents a comprehensive review of measurement methods, propagation characteristics, and modeling advances for land-based maritime wireless channels. First, spanning from S-band to millimeter-wave frequencies, this paper comprehensively reviews field channel measurement campaigns in typical maritime communication scenarios including shore-to-ship, ship-to-ship, shore/ship-to-ocean infrastructure, air-to-sea, and evaporation duct channels. It systematically summarizes the technological evolution paths of mainstream channel measurement platforms and testing systems. Second, through in-depth analysis of key propagation mechanisms including sea surface reflection, scattering, and earth curvature effects, the paper reveals the large-scale and small-scale characteristics of ocean channels as dynamic time-varying systems. Building on this foundation, the paper provides comparative evaluation and applicability analysis of four categories of ocean channel modeling techniques: deterministic models, statistical models, hybrid models, and artificial intelligence-based methods. Finally, considering the challenges faced by current research, the paper outlines future research directions including channel modeling for 6G integrated terrestrial-aerial-marine networks, intelligent marine communication-sensing fusion, and multi-band, multi-link collaborative modeling based on long-term observations.

         

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