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  • 标题:ERROR DISTINGUISH OF AIS BASED ON EVIDENCE COMBINATION
  • 本地全文:下载
  • 作者:FENG MA ; XIUMIN CHU ; XINPING YAN
  • 期刊名称:Journal of Theoretical and Applied Information Technology
  • 印刷版ISSN:1992-8645
  • 电子版ISSN:1817-3195
  • 出版年度:2012
  • 卷号:45
  • 期号:1
  • 页码:083-090
  • 出版社:Journal of Theoretical and Applied
  • 摘要:The Automatic Identification System (AIS) is essential digital communication equipment for maritime safety in inland rivers. The occasional error of GNSS (Global Navigation Satellite System) devices in the AIS equipment will make the terminal send fake dynamic information discontinuously, which needs to be distinguished manually. With the help of the DSmT method, gathering and qualifying the ships motion and lane characteristics, making mathematical models of Dθ discernment frame, it is possible to develop the artificial intelligence. And it is able to discriminate the abnormal messages to improve the reliability of AIS data link. The method has been proved feasible and effective in both simulation environment and field data processing.
  • 关键词:DSmT Method; Automatic Identification System; Evidence Combination
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