A Novel Position Estimation Method Based on Displacement Correction in AIS

Jiang, Yi; Zhang, Shufang; Yang, Dongkai

doi:10.3390/s140917376

Cited by 12 publications

(10 citation statements)

References 17 publications

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“…For instance, some vessels can only receive signals from two shore stations, such as Vessel 2 in Figure 1. In this situation, the TOA method can be enhanced with the displacement correction so that the vessel's position can be estimated [26]. However, some vessels can only receive signals from a single shore station, shown in Figure 1, such as Vessel 3.…”

Section: Ais R-mode Positioningmentioning

confidence: 99%

“…Therefore, the traditional positioning methods are not feasible. In this situation, if the vessel can receive signals from two AIS shore stations, a displacement correction position estimation method can be used to estimate the vessel's position [26,27]. The principle of this method is to calculate the displacement of the vessel for a period of time according to parameters, such as the heading and speed, provided by auxiliary sensors.…”

Section: Introductionmentioning

confidence: 99%

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

Jiang

Zheng

2020

Sensors

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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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Section: Ais R-mode Positioningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

Jiang

Zheng

2020

Sensors

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“…Different algorithms have been developed and used for navigation, guidance, and control (NGC) such as avoiding obstacles, and each method has its advantages and disadvantages [17][18][19]. In general, the issues related to avoiding collisions, warnings, motion control, and navigation guidance are divided into three basic groups: (a) Target point stabilization, which is setting the position of the ship in target ship to determine the collision capability, collision time, and collision location of the event [20][21][22]; (b) Collision avoidance processing, which implements the warning and proposed plan of collision avoidance by the combination of systems on board including the AIS, ARPA, ECDIS, very high frequency (VHF) equipment, and the warning signal [23,24]; and (c) Trajectory tracking, which includes navigation tracking the required ship moves in the reference curve according to route planning, and supporting the management of the volume of vessel traffic in the port [25,26].…”

Section: Introductionmentioning

confidence: 99%

A Novel Method for Risk Assessment and Simulation of Collision Avoidance for Vessels based on AIS

Nguyen

Zhang

2018

Algorithms

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The identification of risks associated with collision for vessels is an important element in maritime safety and management. A vessel collision avoidance system is a topic that has been deeply studied, and it is a specialization in navigation technology. The automatic identification system (AIS) has been used to support navigation, route estimation, collision prediction, and abnormal traffic detection. This article examined the main elements of ship collision, developed a mathematical model for the risk assessment, and simulated a collision assessment based on AIS information, thereby providing meaningful recommendations for crew training and a warning system, in conjunction with the AIS on board.

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“…However, the existing AIS is essentially a communication system, and the positioning function has not been considered in the initial design and construction of the system. There are many technical problems exist that need to be solved using the AIS shore station for positioning, for example, how to extract location information from the AIS [4,5] and develop the secondary phase correction model [6,7] and the new carrier phase-measurement technology. The carriers currently used in the positioning system are all dual-phase-modulated carriers with the same frequency, and the equipment can be accurately positioned by carrier phase-measurement technology.…”

Section: Introductionmentioning

confidence: 99%

A novel sparse representation algorithm for AIS real-time signals

Huai

Zhang

2018

J Wireless Com Network

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Sparse representation of signals based on a redundant dictionary is a new signal representation theory. Recent research activities in this field have concentrated mainly on the study of dictionary design and sparse decomposition algorithms. Currently, the application of sparse representation on an Automatic Identification System (AIS) signal still requires further investigations. In this paper, a novel sparse representation of the AIS signal is proposed based on an adaptive redundant dictionary. Considering the characteristics of the AIS signal, an adaptive redundant dictionary is constructed using the K singular value decomposition (K-SVD) algorithm. Furthermore, an effective pursuit algorithm is proposed to obtain the sparse representation of AIS signal using the adaptive dictionary. The binary AIS message is demodulated from the sparse representation of AIS signal. The experimental results indicate that the sparse representation of the AIS signal has high accuracy and the reconstructive error rate can be under 10%; thus, the reconstructive precision is simultaneously guaranteed. The processing time of the proposed sparse representation algorithm is less than 26.7 ms which satisfies the requirements of AIS real-time signal processing. It shows that introducing the signal sparse representation in a real-time signal system obtains a satisfactory result.

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A Novel Position Estimation Method Based on Displacement Correction in AIS

Cited by 12 publications

References 17 publications

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

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

A Novel Method for Risk Assessment and Simulation of Collision Avoidance for Vessels based on AIS

A novel sparse representation algorithm for AIS real-time signals

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