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Verification and Modeling of the Maritime Channel for Maritime Communications and Navigation Networks

Raulefs, Ronald and Bellido-Manganell, Miguel Angel and Dammann, Armin and Walter, Michael and wang, wei (2023) Verification and Modeling of the Maritime Channel for Maritime Communications and Navigation Networks. Frontiers in Marine Science. Frontiers Media S.A.. doi: 10.3389/fmars.2023.1158524. ISSN 2296-7745. (In Press)

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Official URL: https://www.frontiersin.org/articles/10.3389/fmars.2023.1158524/abstract


This paper presents a geometric stochastic channel model designed for analyzing maritime communication and navigation services between moving ships using the C-band or sub-6 GHz spectrum, which aligns with the focus of emerging 5G networks on land. The channel model is validated through channel measurements conducted both on the sea and land. A software tool has been developed to integrate and analyze these measurements, which is included with this publication. The main challenge in developing the channel model for maritime services lies in the dynamic nature of the sea surface, leading to constantly changing reflection conditions due to varying reflectors and scatterers on the water. Additionally, the motion conditions of the transmitter and receiver on ships change in all three dimensions, depending on the sea state. To address these complexities, data from several measurement campaigns in diverse areas were collected. The analysis involved examining the propagation conditions over the sea with variations in sea surface roughness, antenna heights, and used bandwidths. Moreover, additional propagation conditions over nearby land were also taken into account. The study demonstrates that the changing antenna height on the ship, influenced by sea conditions, significantly affects the reflection and scattering conditions. The research aims to develop reliable, high-data rate, and broadband marine communication systems. Therefore, a measurement bandwidth of 120MHz was employed to derive the propagation model. This model not only offers absolute timing information but can also be used for time-based ranging or positioning systems. The proposed geometric stochastic channel model provides valuable insights into the complex maritime communication and navigation environment. By accounting for the continuously evolving sea surface and its impact on antenna height, the model offers a robust framework for studying and optimizing marine communication systems. The availability of a software tool integrating real-world measurements further enhances the usability and practicality of the channel model for future maritime communication research and deployment.

Item URL in elib:https://elib.dlr.de/197437/
Document Type:Article
Title:Verification and Modeling of the Maritime Channel for Maritime Communications and Navigation Networks
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Raulefs, RonaldUNSPECIFIEDhttps://orcid.org/0000-0002-3409-6640UNSPECIFIED
Bellido-Manganell, Miguel AngelUNSPECIFIEDhttps://orcid.org/0000-0002-0668-3477UNSPECIFIED
Dammann, ArminUNSPECIFIEDhttps://orcid.org/0000-0002-7112-1833UNSPECIFIED
Walter, MichaelUNSPECIFIEDhttps://orcid.org/0000-0001-5659-8716UNSPECIFIED
wang, weiChang’an University, Xi’anUNSPECIFIEDUNSPECIFIED
Journal or Publication Title:Frontiers in Marine Science
Refereed publication:Yes
Open Access:Yes
Gold Open Access:Yes
In ISI Web of Science:Yes
Publisher:Frontiers Media S.A.
Series Name:Frontiers in Marine Science
Status:In Press
Keywords:Maritime Propagation Model, Channel Model
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Communication, Navigation, Quantum Technology
DLR - Research area:Raumfahrt
DLR - Program:R KNQ - Communication, Navigation, Quantum Technology
DLR - Research theme (Project):R - GNSS Technologies and Services
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Communication and Navigation > Communications Systems
Deposited By: Raulefs, Dr.-Ing. Ronald
Deposited On:22 Sep 2023 14:50
Last Modified:25 Sep 2023 09:46

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