Development of an Automatic Identification System Autonomous Positioning System

Hu, Qing; Jiang, Yi; Zhang, Jingbo; Sun, Xuxu; Zhang, Shufang

doi:10.3390/s151128574

Cited by 34 publications

(34 citation statements)

References 8 publications

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“…The existing AIS shore stations are considered reference stations. A vessel can receive signals and derive ranging information to itself from shore stations, and as a consequence, the vessel's position can be estimated [11,12]. It should be noted that the positional information in the existing AIS is now derived from GNSS [13].…”

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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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: Introductionmentioning

confidence: 99%

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

Jiang

Zheng

2020

Sensors

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“…Investigations have shown performance results from AIS and VDE. The authors in [2] investigate the AIS system and its existing infrastructure and how to use for ranging and positioning. A key aspect that was stressed is the impact of the geometric dilution of precision and limits on the coastal areas.…”

Section: Introductionmentioning

confidence: 99%

Investigating R-Mode Signals for the VDE System

Wirsing

Dammann

Raulefs

2019

Oceans 2019 MTS/Ieee Seattle

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As GNSS signals are not always reliable and subject to jamming and spoofing, it is desired to have alternative means of maritime navigation. One approach for that is to equip communication systems on the shore with the option to transmit ranging signals (R-mode), which vessels can use to determine their position. In this paper, we show that by using the VDES system, which is currently in the process of standardization, it is possible to achieve significantly better ranging performance than by utilizing the Automatic Identification System (AIS) for this purpose.

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“…To achieve the urgent requirements of IMO, the utilisation of the existing AIS shore stations has been studied for positioning. Therefore, the AIS can serve as a land-based wireless positioning system for coastal vessels, and the shipborne AIS equipment can perform both communication and positioning functions, which is referred to as the AIS autonomous positioning system (AAPS) [3]. The AAPS achieves autonomous positioning by measuring very high frequency (VHF) radio signals from AIS base stations which are established all over the world.…”

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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Development of an Automatic Identification System Autonomous Positioning System

Cited by 34 publications

References 8 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

Investigating R-Mode Signals for the VDE System

A novel sparse representation algorithm for AIS real-time signals

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