On the performance analysis of a satellite-based AIS system

Cervera, Miguel A.; Ginesi, Alberto

doi:10.1109/spsc.2008.4686715

Cited by 48 publications

(29 citation statements)

References 2 publications

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“…This paper studies the North Atlantic Ocean, like 9 to evaluate the average ship probability of detection. We assume a variable number of vessels, ranging from 3000 to 8000.…”

Section: User Requirements Traffic Distributions and Figures Of Mmentioning

confidence: 99%

Satellite‐based vessel Automatic Identification System: A feasibility and performance analysis

Cervera

Ginesi

Eckstein

2011

Satell Commun Network

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SUMMARYThe Automatic Identification System (AIS) is a VHF communication system that provides identification/ location information to vessels and shore stations by exchanging data such as position, identification, course, speed, etc. Recently, the interest in detecting and tracking ships at distances from coastlines larger than what can be accomplished by normal terrestrial VHF communications has grown, driven by requirements of long-range applications such as better handling of hazardous cargo, improved security and countering illegal operations. This paper presents an extension of AIS to a long-range positioning reporting through a constellation of LEO satellites. It outlines technical challenges like the high rate of message collisions from ships in the field of view of a satellite. Technical solutions are proposed at system and subsystem level to address these challenges. A computer-based system simulator is used to assess the system performance and carry out a high-level system sizing. Results show that a relatively small constellation of LEO satellites can guarantee good ship position detection probability as well as a reporting time interval of a few hours. System performance aspects to be addressed in future work are the possible impact of terrestrial mobile communications interference as well as variations of the estimated traffic data.

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“…This paper studies the North Atlantic Ocean, like 9 to evaluate the average ship probability of detection. We assume a variable number of vessels, ranging from 3000 to 8000.…”

Section: User Requirements Traffic Distributions and Figures Of Mmentioning

confidence: 99%

Satellite‐based vessel Automatic Identification System: A feasibility and performance analysis

Cervera

Ginesi

Eckstein

2011

Satell Commun Network

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“…This situation occurs for space-based AIS collection. Space-based AIS collection suffers from a phenomenon called message collision 11 which essentially means that some messages are unexpectedly dropped (lost) when being collected using a satellite platform. This dropping of messages is functionally equivalent to data decimation.…”

Section: Investigate the Breakdown Of The Techniquementioning

confidence: 99%

Mapping AIS coverage for trusted surveillance

Lapinski

Isenor

2010

SPIE Proceedings

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Automatic Identification System (AIS) is an unattended vessel reporting system developed for collision avoidance. Shipboard AIS equipment automatically broadcasts vessel positional data at regular intervals. The real-time position and identity data from a vessel is received by other vessels in the area thereby assisting with local navigation. As well, AIS broadcasts are beneficial to those concerned with coastal and harbour security. Land-based AIS receiving stations can also collect the AIS broadcasts. However, reception at the land station is dependent upon the ship's position relative to the receiving station. For AIS to be used as a trusted surveillance system, the characteristics of the AIS coverage area in the vicinity of the station (or stations) should be understood. This paper presents some results of a method being investigated at DRDC Atlantic (Canada) to map the AIS coverage characteristics of a dynamic AIS reception network. The method is shown to clearly distinguish AIS reception edges from those edges caused by vessel traffic patterns. The method can also be used to identify temporal changes in the coverage area, an important characteristic for local maritime security surveillance activities. Future research using the coverage estimate technique is also proposed to support surveillance activities.

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“…Automatic identification system was initially developed to aid in vessel collision avoidance and is required for vessels of various sizes as part of the International Maritime Organization (IMO) Safety of Life At Sea Treaty (SOLAS Treaty, Chapter V; Cervera & Ginesi, ). Specifically, all vessels greater than 300 gross tonnes travelling in international waters, all cargo vessels >500 gross tonnes travelling in domestic waters and all passenger vessels of any size must have AIS onboard and turned on.…”

Section: Introductionmentioning

confidence: 99%

Empowering high seas governance with satellite vessel tracking data

et al. 2018

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Between 1950 and 1989, marine fisheries catch in the open‐ocean and deep‐sea beyond 200 nautical miles from shore increased by a factor of more than 10. While high seas catches have since plateaued, fishing effort continues to increase linearly. The combination of increasing effort and illegal, unreported and unregulated (IUU) fishing has led to overfishing of target stocks and declines in biodiversity. To improve management, there have been numerous calls to increase monitoring, control and surveillance (MCS). However, MCS has been unevenly implemented, undermining efforts to sustainably use high seas and straddling stocks and protect associated species and ecosystems. The United Nations General Assembly is currently negotiating a new international treaty for the conservation and sustainable use of biodiversity beyond national jurisdiction (BBNJ). The new treaty offers an excellent opportunity to address discrepancies in how MCS is applied across regional fisheries management organizations (RFMOs). This paper identifies ways that automatic identification system (AIS) data can inform MCS on the high seas and thereby enhance conservation and management of biodiversity beyond national jurisdictions. AIS data can be used to (i) identify gaps in governance to underpin the importance of a holistic scope for the new agreement; (ii) monitor area‐based management tools; and (iii) increase the capacity of countries and RFMOs to manage via the technology transfer. Any new BBNJ treaty should emphasize MCS and the role of electronic monitoring including the use of AIS data, as well as government–industry–civil society partnerships to ensure critically important technology transfer and capacity building.

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On the performance analysis of a satellite-based AIS system

Cited by 48 publications

References 2 publications

Satellite‐based vessel Automatic Identification System: A feasibility and performance analysis

Satellite‐based vessel Automatic Identification System: A feasibility and performance analysis

Mapping AIS coverage for trusted surveillance

Empowering high seas governance with satellite vessel tracking data

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