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The Single-Shore-Station-Based Position Estimation Method of an Automatic Identification System

In order to overcome the vulnerability of the Global Navigation Satellite System (GNSS), the International Maritime Organization (IMO) initiated the ranging mode (R-Mode) of the automatic identification system (AIS) to provide resilient position data. As the existing AIS is a communication system, t...

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Detalles Bibliográficos
Autores principales: Jiang, Yi, Zheng, Kai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146298/
https://www.ncbi.nlm.nih.gov/pubmed/32178367
http://dx.doi.org/10.3390/s20061590
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author Jiang, Yi
Zheng, Kai
author_facet Jiang, Yi
Zheng, Kai
author_sort Jiang, Yi
collection PubMed
description In order to overcome the vulnerability of the Global Navigation Satellite System (GNSS), the International Maritime Organization (IMO) initiated the ranging mode (R-Mode) of the automatic identification system (AIS) to provide resilient position data. As the existing AIS is a communication system, the number of shore stations as reference stations cannot satisfy positioning requirements. Especially in the area near a shore station, it is very common that a vessel can only receive signals from one shore station, where the traditional positioning method cannot be used. A novel position estimation method using multiple antennas on shipborne equipment is proposed here, which provides a vessel’s position even though the vessel can only receive signals from a single shore station. It is beneficial for solving positioning issues in proximity to the coast. Further, as the distances between different antennas to the shore station are not sufficiently independent, the positioning matrix can easily be near singularity or ill-conditioned; thus, an effective position solving method is derived. Furthermore, the proposed method is verified and evaluated in different scenarios by numerical simulation. We assessed the influencing factors of positioning performance, such as the vessel’s heading angle, the relative position, and the distances between the shore station and the vessel. The proposed method widely expands the application scope of the AIS R-Mode positioning system.
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spelling pubmed-71462982020-04-15 The Single-Shore-Station-Based Position Estimation Method of an Automatic Identification System Jiang, Yi Zheng, Kai Sensors (Basel) Article In order to overcome the vulnerability of the Global Navigation Satellite System (GNSS), the International Maritime Organization (IMO) initiated the ranging mode (R-Mode) of the automatic identification system (AIS) to provide resilient position data. As the existing AIS is a communication system, the number of shore stations as reference stations cannot satisfy positioning requirements. Especially in the area near a shore station, it is very common that a vessel can only receive signals from one shore station, where the traditional positioning method cannot be used. A novel position estimation method using multiple antennas on shipborne equipment is proposed here, which provides a vessel’s position even though the vessel can only receive signals from a single shore station. It is beneficial for solving positioning issues in proximity to the coast. Further, as the distances between different antennas to the shore station are not sufficiently independent, the positioning matrix can easily be near singularity or ill-conditioned; thus, an effective position solving method is derived. Furthermore, the proposed method is verified and evaluated in different scenarios by numerical simulation. We assessed the influencing factors of positioning performance, such as the vessel’s heading angle, the relative position, and the distances between the shore station and the vessel. The proposed method widely expands the application scope of the AIS R-Mode positioning system. MDPI 2020-03-12 /pmc/articles/PMC7146298/ /pubmed/32178367 http://dx.doi.org/10.3390/s20061590 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Jiang, Yi
Zheng, Kai
The Single-Shore-Station-Based Position Estimation Method of an Automatic Identification System
title The Single-Shore-Station-Based Position Estimation Method of an Automatic Identification System
title_full The Single-Shore-Station-Based Position Estimation Method of an Automatic Identification System
title_fullStr The Single-Shore-Station-Based Position Estimation Method of an Automatic Identification System
title_full_unstemmed The Single-Shore-Station-Based Position Estimation Method of an Automatic Identification System
title_short The Single-Shore-Station-Based Position Estimation Method of an Automatic Identification System
title_sort single-shore-station-based position estimation method of an automatic identification system
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7146298/
https://www.ncbi.nlm.nih.gov/pubmed/32178367
http://dx.doi.org/10.3390/s20061590
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