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

• Autorzy: Seta T. , Matsukura H. , Aratani T. , Tamura K.

Identyfikatory

DOI

10.17402/125

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

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

• Wydawca: Wydawnictwo Naukowe Akademii Morskiej w Szczecinie
• Czasopismo: Zeszyty Naukowe Akademii Morskiej w Szczecinie
• Rocznik: 2016
• Tom: nr 46 (118)
• Strony: 101--107
• Opis fizyczny: Bibliogr. 11 poz., rys., tab.

Twórcy

autor

Seta T.

• National Maritime Research Institute, Japan Shinkawa 6-38-1, Mitaka, Tokyo, 181-0004, Japan

autor

Matsukura H.

• National Maritime Research Institute, Japan Shinkawa 6-38-1, Mitaka, Tokyo, 181-0004, Japan

autor

Aratani T.

• National Maritime Research Institute, Japan Shinkawa 6-38-1, Mitaka, Tokyo, 181-0004, Japan

autor

Tamura K.

• National Maritime Research Institute, Japan Shinkawa 6-38-1, Mitaka, Tokyo, 181-0004, Japan

Bibliografia

• 1. Chen, Y. (2014) Detection Probability Analysis of SpaceBased AIS Signal by Using Geometrical Model. Journal of Shipping and Ocean Engineering 4. pp. 161–171.
• 2. ExactEarth (2011) exactNews, issue 1.
• 3. Hammond, T.R. & Peters, D.J. (2012) Estimating AIS Coverage from Received Transmissions. The Journal of Navigation 65 (3). pp. 409–425.
• 4. Høye, G.K., Eriksen, T., Meland, B.J. & Narheim, B.T. (2008) Space-based AIS for global maritime traffic monitoring. Acta Astronautica 62. pp. 240–245.
• 5. International Telecommunication Union (2014) Technical Characteristics for an Automatic Identification System Using Time Division Multiple Access in the VHF Maritime Mobile Frequency Band. Recommendation ITU-R M.1371-5.
• 6. Japan Aerospace Exploration Agency (2015) SPAISE – SPace based AIS Experiment (in Japanese) [Online] Available from: http://www.satnavi.jaxa.jp/spaise/index.html [Accessed: May 15, 2016]
• 7. Lapinski, A.-L.S. & Isenor, A.W. (2011) Estimating Reception Coverage Characteristics of AIS. The Journal of Navigation 64 (4). pp. 609–623.
• 8. Larsen, J.A., Nielsen, J.F.D., Mortensen, H.P., Rasmussen, U.W., Laursen, T. & Ledet-Pedersen, J. (2012) Evaluation of AIS Reception in Arctic Regions From Space by Using a Stratospheric Balloon Flight. Polar Record 48 (1), pp. 39–47.
• 9. Marine Traffic (2015) www.marinetraffic.com.
• 10. Shipfinder (2013) www.shipfinder.com.
• 11. Tunaley, J.K.E. (2011) The Performance of a Space-Based AIS System. London Research and Development Corporation Technical Report.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniajacą naukę.