Ray-Tracing Based Channel Modeling and Characteristics Analysis for Maritime Land-to-Ship Communication Systems

In this paper, a ray-tracing based maritime land-to-ship channel model is proposed. In this model, a three dimensional (3D) offshore scenario containing the sea surface, shore land, and buildings on shore is modeled. The sea surface is further simplified after modeling with the TEXEL, MARSEN, and ARSLOE (TMA) shallow sea wave spectrum and the Longuet-Higgins model. The ray-tracing algorithm for maritime land-to-ship scenarios also takes scenario update time into account, where scenario update time can be obtained from the derived time autocorrelation function (ACF) of the sea surface wave. The simulation results of path loss are compared with the free-space path loss (FSPL) model and measurement results. Effects of the sea depths and wind speeds on path loss are investigated. Based on the simulation results, an increase in either sea depth or wind speed can increase the path loss.

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Publication Details

Published
2024-10-18
DOI
https://doi.org/10.1109/icct62411.2024.10946443
Citations
1
Primary Topic
Telecommunications and Broadcasting Technologies
Type
article
Field-Weighted Citation Impact
0.32

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article

Ray-Tracing Based Channel Modeling and Characteristics Analysis for Maritime Land-to-Ship Communication Systems

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1 citations
Telecommunications and Broadcasting Technologies
0.32
article

Ray-Tracing Based Channel Modeling and Characteristics Analysis for Maritime Land-to-Ship Communication Systems

Yinghua Wang, Songjiang Yang, Jie Huang, Hengtai Chang, Cheng‐Xiang Wang, Pingfan Su
article en
1 citations

Abstract

In this paper, a ray-tracing based maritime land-to-ship channel model is proposed. In this model, a three dimensional (3D) offshore scenario containing the sea surface, shore land, and buildings on shore is modeled. The sea surface is further simplified after modeling with the TEXEL, MARSEN, and ARSLOE (TMA) shallow sea wave spectrum and the Longuet-Higgins model. The ray-tracing algorithm for maritime land-to-ship scenarios also takes scenario update time into account, where scenario update time can be obtained from the derived time autocorrelation function (ACF) of the sea surface wave. The simulation results of path loss are compared with the free-space path loss (FSPL) model and measurement results. Effects of the sea depths and wind speeds on path loss are investigated. Based on the simulation results, an increase in either sea depth or wind speed can increase the path loss.

Purple Mountain Laboratories (CN), Southeast University (CN)
National Natural Science Foundation of China, Southeast University, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 32%
Telecommunications and Broadcasting Technologies
0.32
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