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Title
An estimation method of message receiving probability for a satellite automatic identification system using a binomial distribution model

ISSN printed: 1733-8670, ISSN on-line: 2392-0378
Seta, Takahiro1; Matsukura, Hiroshi2; Aratani, Taro3; Tamura, Kenkichi4
URI: https://repository.am.szczecin.pl/handle/123456789/1233
2016-06-27
Automatic identification system (AIS) data are used to analyze vessels’ positions or maritime traffic. Recently, satellites are being adopted for gathering AIS data (satellite AIS). A satellite AIS can gather AIS data from all over the world, including the center of the ocean. However, because a satellite moves around the world every day, there is a very short window of time that the satellite can receive signals from some specific area. Furthermore, because a satellite AIS receives signals simultaneously from a wider area than a terrestrial AIS does, the satellite AIS has lower rate of signal reception, especially near vessel congested areas. This may cause many unrecognized vessels. For this situation, this paper proposes a new method to estimate the number of unrecognized vessels based on a binomial distribution model. With this method, we are able to estimate the number of unrecognized vessels just from satellite AIS data themselves.
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Title

An estimation method of message receiving probability for a satellite automatic identification system using a binomial distribution model

Pages

101-107

Figures

7

Tables

4

ISSN printed

1733-8670

ISSN on-line

2392-0378

DOI

10.17402/125

Type

Original scientific article

Journal

46 Scientific Journals of the Maritime University of Szczecin, no. 46 / 2016

Publisher

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Copyright Holder

Scientific Journals Maritime University of Szczecin, Zeszyty Naukowe Akademia Morska w Szczecinie

Published

2016-06-27

Recieved

2015-08-31

Accepted

2016-04-04

Funding

No data

Keywords

satellite AIS, recognition/detection probability, missing rate, coverage, statistical binomial distribution model

URI:

https://repository.am.szczecin.pl/handle/123456789/1233

Language

English

Authors

Seta, Takahiro1; Matsukura, Hiroshi2; Aratani, Taro3; Tamura, Kenkichi4

Affiliation

1 National Maritime Research Institute, Japan Shinkawa 6-38-1, Mitaka, Tokyo, 181-0004, Japan, seta@nmri.go.jp
2 National Maritime Research Institute, Japan Shinkawa 6-38-1, Mitaka, Tokyo, 181-0004, Japan,
3 National Maritime Research Institute, Japan Shinkawa 6-38-1, Mitaka, Tokyo, 181-0004, Japan,
4 National Maritime Research Institute, Japan Shinkawa 6-38-1, Mitaka, Tokyo, 181-0004, Japan,

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