Journal is indexed in following databases:



2022 Journal Impact Factor - 0.6
2022 CiteScore - 1.7



HomePage
 




 


 

ISSN 2083-6473
ISSN 2083-6481 (electronic version)
 

 

 

Editor-in-Chief

Associate Editor
Prof. Tomasz Neumann
 

Published by
TransNav, Faculty of Navigation
Gdynia Maritime University
3, John Paul II Avenue
81-345 Gdynia, POLAND
www http://www.transnav.eu
e-mail transnav@umg.edu.pl
PER Estimation of AIS in Inland Rivers based on Three Dimensional Ray Tracking
1 Wuhan University of Technology, Wuhan, China
ABSTRACT: The Automatic Identification System (AIS) is an important maritime safety device, which is populous in inland rivers. Compared with that in open sea, the Package Error Rate (PER) of AIS in inland river has increased sharply due to its complex environment. With the help of hardware in loop simulation, it is possible to make statistical calculation on the PER under a given field strength and describe the data by quadratic rational fraction. Meanwhile, in the three dimensional software environments, the signal field strength is able to be calculated by the ray tracking method, which exhausts all the possible propagation paths, including direct way, reflection, diffractions, and the other medium attenuation matters. Beyond that, in the model, the propagation geography information in inland rivers is required to be simplified in some way, or the computation of the ray tracking is too hard to get. The paper set the Changjiang Wuhan channel as the field testing region, and all the deviations are less than 5% in sunny weather, which proves the method accurate and effective.
REFERENCES
Yan Xinping, MA Feng. Key Technology of Collecting Traffic Flow on the Yangtze River in Real-Time. Navigation of China, 2010,6(33):41-45.
Tao Limin, XU Changru. Study of the AIS Netting. Marine Technology, 2004(4):31-33.
Wang Feizhou.Comprehensive Assessment of AIS Performance. Navigation of China, 2001,(1):14-17.
Ma Feng, Yan Xingping, Chu Xiumin, He Runtian. Correlation between signal failure and field strength in automatic identify system. Journal of Dalian Maritime University, 2011,3:111-115.
Chu Xiumin,Xu Haichao, Wan Jian, Song Chengguo. Parsing Shipborne AIS Messages Based on Multithreading,Navaigation China, 2011(2):19:23;
Zhang Fan,chu,xiumin. The Design and Development of AIS System Based on ECDIS, Proceedings of 1st International Conference on Transportation Information and Safety,2011(6).
J.F.Vesecky, K.E.Laws, J.D.Paduan: Using HF surface wave radar and the ship Automatic Identification System (AIS) to monitor coastal vessels. Geo-science and Remote Sensing Symposium, Proceedings of 2009 IEEE International IGARSS 2009: 761 - 764.
K.Hasegawa, K.Hata, K.Niwa, J.Fukuto: Transmission evaluation of Ship-borne Automatic Identification System (AIS) in congested waterways. ITS Telecommunications 8th International Conference, Japan, 2008: 18 – 23.
Lin Changchuan, Dong Fang, Le Jie, Wang Gaoyao. AIS System and the Applications at the Harbor Traffic Management. Proceedings of 4th International Conference on Wireless Communications, Networking and Mobile Computing. 2008: 1.
Dzvonkovskaya A, Rohling H. HF Radar Performance Analysis Based on AIS Ship Information. Page:1239-1244.
Grasso R, Mirra S, Baldacci A, Horstmann J, Coffin M, Jarvis M. Performance assessment of a mathematical morphology ship detection algorithm for SAR images through comparison with AIS data, 2009:602-607.
Hao Ruichang, HAO Ruidong, YANG Jian. Research on capacity planning of GSM-R radio network. Journal of Chongqing University of Posts and Telecommunications (Natural Science), 2007,19(2):177-180.
Citation note:
Ma F., Chu X.M., Liu C.G.: PER Estimation of AIS in Inland Rivers based on Three Dimensional Ray Tracking. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 8, No. 1, doi:10.12716/1001.08.01.10, pp. 89-94, 2014

File downloaded 1274 times








Important: TransNav.eu cookie usage
The TransNav.eu website uses certain cookies. A cookie is a text-only string of information that the TransNav.EU website transfers to the cookie file of the browser on your computer. Cookies allow the TransNav.eu website to perform properly and remember your browsing history. Cookies also help a website to arrange content to match your preferred interests more quickly. Cookies alone cannot be used to identify you.
Akceptuję pliki cookies z tej strony