Quantifying the tracking capability of space-based AIS systems

Skauen, Andreas Nordmo

doi:10.1016/j.asr.2015.11.028

Cited by 28 publications

(30 citation statements)

References 12 publications

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“…This map was generated by using 2 days of the LAPAN-A2 AIS which dataset consisted of 19,955 unique vessels, from 1 October 2018, 00:00:00 UTC to 2 October 2018, 23:59:56 UTC. This dataset has been filtered in order to exclude the messages transmitted by re-used MMSI identifiers which can be recognized by its calculated speed exceeding 60 knots [20]. Based on this map, it is confirmed that the LAPAN-A2 AIS receiver is capable of producing an identical global tracking capability map compared to the map generated by Skauen, which is provided in his work.…”

Section: Data Preparationmentioning

confidence: 66%

“…Therefore, in this research, we did not perform AIS message correction. Necessary correction of AIS messages can be performed by removing the wrong location reported messages, re-used MMSI (Maritime Mobile Service Identity) identifier, and out of view message [20]. All of those corrections have to be done in case to assess the quality of the AIS dataset received by an AIS receiver.…”

Section: Analysis Methodsmentioning

confidence: 99%

“…The area of interest has been assigned by employing the map of global tracking capability of LAPAN-A2 AIS receiver as the reference. The map was generated by employing the method proposed by Skauen, which was used to estimate the global tracking capability of space-based AIS using Norwegian AISSat-1 receiver [20]. The results of this method are based only on the data recorded by the space-based AIS sensors themselves without involving any ground truth data.…”

Section: Data Preparationmentioning

confidence: 99%

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The Impact of Space-Based AIS Antenna Orientation on In-Orbit AIS Detection Performance

et al. 2019

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In this paper, a study on the impact of changing the space-based Automatic Identification System (AIS) monopole antenna orientation on its message reception performance in orbit has been conducted. The study has been carried out by maneuvering the attitude of LAPAN-A2, an equatorial orbiting microsatellite with AIS antenna fixedly mounted on the satellite's body, into the desired orientation. Based on the analysis of the datasets collected during the maneuver, the orientation of AIS monopole antenna 45 • toward its flight direction increases the overall detection performance of the AIS message, including class A ship to 208.80% and also class B ships to 175.93%. This orientation also increases the detection of AIS messages in ocean areas having low detection probability due to AIS signal collision. The result of this research could become a reference in order to specify AIS antenna position and orientation in a small satellite carrying a space-based AIS system for maritime surveillance & monitoring purposes.

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Section: Data Preparationmentioning

confidence: 66%

Section: Analysis Methodsmentioning

confidence: 99%

Section: Data Preparationmentioning

confidence: 99%

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The Impact of Space-Based AIS Antenna Orientation on In-Orbit AIS Detection Performance

et al. 2019

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“…The exchange of data can be ship-to-ship, ship-to-shore station and shore station-to-ship. Such data exchange allows for the monitoring and control of the marine traffic [22] which consequently enhances the safety of navigation. Fig.…”

Section: Introductionmentioning

confidence: 99%

Mapping Marine Traffic Density by Using AIS Data: An Application in the Northern Aegean Sea

Kundakci

Nas

2018

Polish Maritime Research

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Automatic Identification System (AIS) data is used for monitoring the movements of vessels live movements through instant transmission of vessel information while, at the same time, historical AIS data is used for marine traffic analysis by researchers. There are several methods and computer programs developed for the analysis of marine traffic by the use of AIS data. Combining the intersection algorithm proposed by Antonio (1992) and distance calculation method, this study develops a method to analyse vessel distribution on a selected cross sectional line (SCS) in the Northern Aegean Sea. As a complementary to the new methods proposed, a desktop application is developed in C# programming language to visualize the vessel distribution on the SCS line. SQL server is used for AIS data storage and analysis. The study is conducted over 7-day AIS data, specifically 2.382.469 rows and 42.884.442 data in total, belonging to the Northern Aegean Sea marine traffic. As a result, the mapping of the movements of different types of vessels in the Northern Aegean Sea is effectively performed and Frequency-Distance, Draught-Distance, SOG-Distance, SOG-COG distributions on the SCS line are successfully analysed by the new method introduced.

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“…Although AIS ignored the role of the satellite in its original design; it has been proven feasible to receive AIS signals by satellite [6,7]. In the satellitebased AIS, the relative speed of satellite and ship is high, and the two are far apart; therefore, there are challenges for the correct detection of the AIS signal such as the problem of time delay, the high Doppler offset, and low signal-tonoise ratio (SNR) [8].…”

Section: Introductionmentioning

confidence: 99%

A Vessel Positioning Algorithm Based on Satellite Automatic Identification System

Wang

Meng

et al. 2017

Journal of Electrical and Computer Engineering

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Vessels can obtain high precision positioning by using the global navigation satellite system (GNSS), but when the ship borne GNSS receiver fails, the existence of an alternative positioning system is important for the navigation safety of vessel. In this paper, a localization method based on the signals transmitted by satellite-based automatic identification system (AIS) is proposed for vessel in GNSS-denied environments. In the proposed method, the positioning model is a modification on the basis of time difference and frequency difference of arrival measurements by introducing an additional measurement, and the measurement is obtained through the interactive multiple model algorithm. The performance of the proposed strategy is evaluated through simulations, and the results validate the feasibility and reliability of vessel localization based on satellite-based AIS.

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Quantifying the tracking capability of space-based AIS systems

Cited by 28 publications

References 12 publications

The Impact of Space-Based AIS Antenna Orientation on In-Orbit AIS Detection Performance

The Impact of Space-Based AIS Antenna Orientation on In-Orbit AIS Detection Performance

Mapping Marine Traffic Density by Using AIS Data: An Application in the Northern Aegean Sea

A Vessel Positioning Algorithm Based on Satellite Automatic Identification System

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