期刊文献+

相对估计的舰船组合导航定位算法研究及性能分析 被引量:1

Research and performance analysis of integrated navigation and positioning algorithm of ship based on relative estimation
下载PDF
导出
摘要 舰船信息化的程度在不断的提高,多传感器网络规模在变大、结构变得复杂,通过多信息的融合来获取更加准确的船舶定位,能够有效的避免各种海上事故。本文在舰船组合导航系统的基础上,应用相对估计的方式开展舰船导航定位研究,最后进行仿真实验。通过实验对比可看出,本文算法精度高、误差小,具有更高的实用性。 The degree of ship information is increasing. The size of the sensor network is becoming larger and the structure becomes more complex. It can effectively avoid all kinds of maritime accidents by the fusion of multi information to obtain more accurate positioning of the ship. In this paper, based on the integrated navigation system of ships, the relative estimation method was applied to the ship navigation and positioning. Finally, the simulation experiments were carried out.The experimental results showed that the algorithm had high accuracy, small error and high practicability.
作者 何晶晶
出处 《舰船科学技术》 北大核心 2017年第3X期90-92,共3页 Ship Science and Technology
基金 四川省教育厅课题资助项目(14ZB0398)
关键词 相对估计 组合导航 舰船定位 relative estimate integrated navigation ship positioning
  • 相关文献

参考文献4

二级参考文献17

  • 1赵琳,孙枫,郝燕玲.推算船位/罗兰C(GPS)组合导航系统的研究及其海上试验[J].中国航海,1996,19(1):69-70. 被引量:9
  • 2刘宇宏,胡甚平.基于数据融合的单目标船避碰评估系统[J].中国航海,2005,28(4):40-45. 被引量:3
  • 3刘宝生.导航制导中的鲁棒图像匹配算法研究[D].北京:清华大学,2006.
  • 4Carlson N A. Federated square root filter for decentralized parallel processors[J]. IEEE Trans on Aerospace and Electronic Systems, 1990, 26(3): 517-525.
  • 5Chui C K, Chen G. Kalman Filtering: with Real-time Applications [M]. New York: Springer, 1999.
  • 6周永余,许江宁.舰船导航系统导论[M].武汉:海军工程大学,2004.
  • 7邹红兵,张鹏.船舶自动识别系统(AIS)的应用.中国水运:理论版,2004,2(4):135-136.
  • 8Gao Shesheng,Zhou Tao.Large Number Law for Sample mean of Random Weighting Estimate.Information and Science,2003,(155):151-156.
  • 9John L.Crassidis.Sigma-Point Kalman Filtering for Integrated GPS and Inertial Navigation[J].IEEE Trans.On Aerospace and Electronic Systems,2006,42(2):750-756.
  • 10Chenglin Wen,Quanbo Ge.Asynchronous Multisensor Sequential Data Fusion based on Transmission Delay[C].ICSCA 2006,Chengdu,China,May 8-10,2006.

共引文献25

同被引文献3

引证文献1

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部