Ship-to-ship maritime wireless channel modeling under various sea state conditions based on REL model

Li, Fang; Shui, Yishui; Liang, Jiayao; Yang, Kun; Yu, Jiguo

doi:10.3389/fmars.2023.1134286

Cited by 2 publications

(1 citation statement)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ray-tracing and parabolic equation methods have better applicability. The authors in [ 28 ] proposed a novel ship–ship round earth loss model by incorporating the ray-tracing method and wind speed. A novel three-dimensional non-stationary UAV-to-ship channel model was proposed, which considered the multi-bounce components introduced by atmospheric ducts [ 29 ].…”

Section: Introductionmentioning

confidence: 99%

A Sliced Parabolic Equation Method to Characterize Maritime Radio Propagation

Wang

Zhou

et al. 2023

Sensors

View full text Add to dashboard Cite

For maritime broadband communications, atmospheric ducts can enable beyond line-of-sight communications or cause severe interference. Due to the strong spatial–temporal variability of atmospheric conditions in near-shore areas, atmospheric ducts have inherent spatial heterogeneity and suddenness. This paper aims to evaluate the effect of horizontally inhomogeneous ducts on maritime radio propagation through theoretical analysis and measurement validation. To make better use of meteorological reanalysis data, we design a range-dependent atmospheric duct model. Then, a sliced parabolic equation algorithm is proposed to improve the prediction accuracy of path loss. We derive the corresponding numerical solution and analyze the feasibility of the proposed algorithm under the range-dependent duct conditions. A 3.5 GHz long-distance radio propagation measurement is utilized to verify the algorithm. The spatial distribution characteristics of atmospheric ducts in the measurements are analyzed. Based on actual duct conditions, the simulation results are consistent with the measured path loss. The proposed algorithm outperforms the existing method during the multiple duct periods. We further investigate the influence of different duct horizontal characteristics on the received signal strength.

show abstract

Section: Introductionmentioning

confidence: 99%

A Sliced Parabolic Equation Method to Characterize Maritime Radio Propagation

Wang

Zhou

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

An AIS Base Station Credibility Monitoring Method Based on Service Radius Detection Patterns in Complex Sea Surface Environments

Wang,

et al. 2024

JMSE

View full text Add to dashboard Cite

The Automatic Identification System (AIS) utilizes base stations to manage vessel traffic and disseminate waterway information. These stations broadcast maritime safety data to vessels within their service radius using VHF signals. However, the emergence of “spoofing base stations” poses a significant threat to maritime safety. These impostors mimic legitimate AIS base stations by appropriating their Maritime Mobile Service Identity (MMSI) information, interacting with vessels, potentially leading to erroneous decisions, or guiding vessels into hazardous areas. Therefore, ensuring the credibility of AIS base stations is critical for safe vessel navigation. It is essential to distinguish between genuine AIS base stations and “spoofing base stations” to achieve this goal. One criterion for identifying AIS spoofing involves detecting signals beyond the expected service radius of AIS base stations. This paper proposes a method to monitor the credibility of AIS base stations through a service radius detection pattern. Furthermore, the method analyzes the impact of hydrological and meteorological factors on AIS signal propagation in complex sea surface environments. By integrating empirical data, it accurately describes the mathematical relationship and calculates the service radius of AIS base station signals. Analyzing vessel position coordinates, decoding base station position messages, and computing distances between vessels and AIS base stations allows for matching with the AIS base station’s designated service radius and propagation distance. This approach enables precise identification of AIS spoofing base stations, thereby facilitating robust monitoring of AIS base station credibility. The research outcomes provide a foundational framework for developing high-credibility AIS base station services within integrated maritime navigation and information systems.

show abstract

Ship-to-ship maritime wireless channel modeling under various sea state conditions based on REL model

Cited by 2 publications

References 27 publications

A Sliced Parabolic Equation Method to Characterize Maritime Radio Propagation

A Sliced Parabolic Equation Method to Characterize Maritime Radio Propagation

An AIS Base Station Credibility Monitoring Method Based on Service Radius Detection Patterns in Complex Sea Surface Environments

Contact Info

Product

Resources

About