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数据融合技术在海图作业标绘台的应用 被引量:3

Application of data fusion technique in the chart course plotter
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摘要 论文将数据融合技术用于海图作业标绘台的设计,解决了海图作业标绘台实时标绘本舰和多目标航迹从而进行态势估计。文中对海图作业标绘台发展状况进行了简单介绍,并介绍了数据融合技术的应用背景、常用算法及研究内容,设计了相关模型,并具体论述了多目标检测和多目标跟踪技术在海图作业标绘台中应用。 The project presents the application of the data fusion technology used in chart course plotter, and deals with the estimation that the chart course plotter applied in describing the naval vessel and multi-target track.In the project, the development of the chart course plotter, the background of the data fusion technology, the normal algorithms and the research contents will be briefly introduced. Some relative models will be designed, meanwhile, multi-target detection and multi-target tracking technology will also be applied in the chart course plotter.
出处 《航海技术》 2008年第6期40-42,共3页 Marine Technology
关键词 海图作业标绘台 数据融合 多传感器 chart course plotter data fusion multi-sensor
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参考文献4

  • 1Lackman S S. Multiple hypothesis tracking for multiple target tracking [J]. IEEE Aerospace and Electronic Systems Magazine,2004, 19 (1).
  • 2Chen Y M. A new data association algorithm for multi-target tracking in a cluttered environment[ C ] //ISIF, 2003; 129 -134.
  • 3Ding Z, Leung H, Hong L. Decoupling joint probabilistic data association algorithm for multiple target tracking [J]. IEE Proc Radar, Sonar Navig, 1999, 146 (5): 251 - 254.
  • 4Blom A P,Bloem A. Probabilistic data association avoiding track coalescence[J]. IEEE Trans on Automatic Control, 2000, 45 (2);247 - 259.

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