Maritime traffic monitoring using a space-based AIS receiver

Eriksen, Torkild; Høye, Gudrun; Narheim, B. T.; Meland, Bente Jensløkken

doi:10.1016/j.actaastro.2005.12.016

Cited by 134 publications

(81 citation statements)

References 2 publications

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“…The majority of studies conducted using AIS information have focussed on specific areas such as: ship surveillance, tracking, and security [2,[4][5][6][7][8][9][10][11]; prevention of maritime disasters including collision risks [6,[12][13][14][15][16][17][18][19][20][21][22][23][24][25][26][27]; shipping noise levels [28][29][30][31][32][33][34][35]; or vessel emissions [36][37][38][39][40][41][42]. Only one known study see [43] has looked at AIS as a tool for marine planning in order to better visualise spatial and temporal variation in shipping activity but the authors did not use all the available vessel types, did not take into account any temporal variation in shipping activity, and concentrated their results on interpolated vessel tracks.…”

Section: Introductionmentioning

confidence: 99%

Teasing out the detail: How our understanding of marine AIS data can better inform industries, developments, and planning

Shelmerdine¹

2015

Marine Policy

106

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Section: Introductionmentioning

confidence: 99%

Teasing out the detail: How our understanding of marine AIS data can better inform industries, developments, and planning

Shelmerdine¹

2015

Marine Policy

106

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“…A major breakthrough in the field was achieved in the mid 2000's, when several studies proved the viability of AIS message reception at Low Earth Orbit (LEO) satellites [3], [4], [5], [6], [7]. As a matter of fact, the possibility to collect navigation information at a flying platform complements the original goal of AIS, providing an overall picture of vessels distributed over large areas and enabling worldwide routes monitoring.…”

Section: Introductionmentioning

confidence: 99%

On the impact of coverage range on AIS message reception at flying platforms

Clazzer

Munari

Plass

et al. 2014

2014 7th Advanced Satellite Multimedia Systems Conference and the 13th Signal Processing for Space Communications Workshop (ASM

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Abstract-In the recent past, an increasing interest has been devoted to the possibility of receiving Automatic Identification System (AIS) messages via Low Earth Orbit (LEO) satellites. While the principle has been demonstrated to be a viable option for monitoring vessel traffic over oceans and vaste land areas, the achievable performance from a communications viewpoint is far from optimal. Recently, it was shown how AIS traffic seen at a satellite can be very accurately modeled resorting to simple random access schemes. Leveraging this result, in this work we propose a simple yet flexible analytical framework capable of predicting channel load and overall reception performance taking into account the spatial distribution of vessels as well as their traffic generation pattern. Feeding the model with ship speed and location data derived from experimental settings, we discuss the achievable efficiency for a typical LEO-satellite detecting AIS packets. Moreover, the impact of the receiver footprint on ground on the overall decoding performance is investigated, deriving some interesting insights on the benefits that could stem resorting to narrower-beam systems. In this direction, we discuss two cases: the usage of a LEO satellite with a directional antenna soon to be launched for AIS monitoring, and the possibility of using airliner for receiving vessel-generated traffic.

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“…There has been some interest in collection of AIS from high-altitude unmanned aerial vehicle (UAV) and from space [15][16][17]. In [17], the authors discuss the future of maritime surveillance using micro-satellites; they investigate collecting radar pulses and/or AIS signals along with satellite-based synthetic aperture radar (SAR) imagery.…”

Section: A Aismentioning

confidence: 99%

Joint Demodulation of Low-Entropy Narrowband Cochannel Signals

Meehan¹,

Kragh²,

Clark³

2007

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Public reporting burden for this collection of information is estimated to average 1 hour per response, including the time for reviewing instruction, searching existing data sources, gathering and maintaining the data needed, and completing and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, The views expressed in this thesis are those of the author and do not reflect the official policy or position of the Department of Defense or the U.S. Government.Approved for public release; distribution is unlimited.Reception of one or more signals, overlapping in frequency and time with the desired signal, is commonly called cochannel interference. Joint detection is the optimal minimum probability of error decision rule for cochannel interference. This dissertation investigates the optimum approach and a number of suboptimum approaches to joint detection when a priori information based in fields, or sets of transmitted symbols, is available. In the general case the solution presents itself as a time-varying estimation problem that may be efficiently solved with a modified Bahl, Cocke, Jelinek and Raviv (BCJR) algorithm. The low-entropy properties of a particular signal of interest, the Automatic Identification System (AIS), are presented. Prediction methods are developed for this signal to be used as a priori information for a joint field-based maximum a posteriori (MAP) detector. Advanced joint detection techniques to mitigate cochannel interference are found to have superior bit error rate (BER) performance than can be obtained compared to traditional methods. ABSTRACTReception of one or more signals, overlapping in frequency and time with the desired signal, is commonly called cochannel interference. Joint detection is the optimal minimum probability of error decision rule for cochannel interference. This dissertation investigates the optimum approach and a number of suboptimum approaches to joint detection when a priori information based in fields, or sets of transmitted symbols, is available. In the general case the solution presents itself as a time-varying estimation problem that may be efficiently solved with a modified Bahl, Cocke, Jelinek and Raviv (BCJR) algorithm.

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Maritime traffic monitoring using a space-based AIS receiver

Cited by 134 publications

References 2 publications

Teasing out the detail: How our understanding of marine AIS data can better inform industries, developments, and planning

Teasing out the detail: How our understanding of marine AIS data can better inform industries, developments, and planning

On the impact of coverage range on AIS message reception at flying platforms

Joint Demodulation of Low-Entropy Narrowband Cochannel Signals

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