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Tytuł artykułu

PER Estimation of AIS in Inland Rivers based on Three Dimensional Ray Tracking

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Języki publikacji
EN
Abstrakty
EN
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.
Twórcy
autor
  • Intelligent Transportation System Research Center, Wuhan University of Technology Engineering Research Center of Transportation Safety (Ministry of Education)
autor
  • Intelligent Transportation System Research Center, Wuhan University of Technology Engineering Research Center of Transportation Safety (Ministry of Education)
autor
  • Intelligent Transportation System Research Center, Wuhan University of Technology Engineering Research Center of Transportation Safety (Ministry of Education)
Bibliografia
  • 1 K. Naus, A. Makar, J. Apanowicz. Usage AIS Data for Analyzing Shipʹs Motion Intensity. TransNav, the International Journal on Marine Navigation and Safety of Sea Transportation, 2007, 1(3): 237‐242.
  • 2 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.
  • 3. Tao Limin, XU Changru. Study of the AIS Netting. Marine Technology, 2004(4)31‐33.
  • 4 Wang Feizhou.Comprehensive Assessment of AIS Performance. Navigation of China, 2001,(1) 14‐17.
  • 5 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.
  • 6 Chu Xiumin , Xu Haichao, Wan Jian, Song Chengguo. Parsing Shipborne AIS Messages Based on Multithreading,Navaigation China, 2011(2):19:23;
  • 7 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).
  • 8 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 20 9: 761 ‐ 764.
  • 9 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, 2 08: 18 – 23.
  • 10 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.
  • 11 Dzvonkovskaya A, Rohling H. HF Radar Performance Analysis Based on AIS Ship Information. Page:1239‐1244.
  • 12 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.
  • 13 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.
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Bibliografia
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