期刊文献+

UKF在潜艇对目标跟踪定位中的应用 被引量:2

Application of UKF in submarine′s target tracking and positioning
下载PDF
导出
摘要 针对潜艇在隐蔽攻击中利用扩展卡尔曼滤波对敌舰目标进行跟踪定位时存在滤波精度低、误差大甚至出现发散的问题,将无迹卡尔曼滤波(UKF)应用在潜艇对敌舰的跟踪定位中。假设敌舰运行在CV模型下,由仿真实验的结果可以得出,在潜艇对敌舰目标的跟踪定位中无迹卡尔曼滤波与扩展卡尔曼滤波相比较,提高了其定位的精度并且解决了其发散的问题。在仿真实验中,潜艇对敌舰目标跟踪定位12 s后扩展卡尔曼滤波出现了发散的问题无法对敌舰目标进行实时的跟踪,但此时无迹卡尔曼滤波仍然可以实现对敌舰的跟踪与定位。 As there exist problems of low filtering precision,big filtering errors and even divergence when the extended Kalman filter(EKF)is used to track and locate the enemy warship target during the submarine′s stealthy attack,the unscented Kalman filter(UKF)is applied in the submarine′s tracking and positioning of the enemy warship.When the enemy warship is running under the CV model,the results of the simulation experiment show that,in comparison with the EKF,the UKF has higher positioning precision,and can resolve the divergence problem during the submarine′s tracking and positioning of the ene-my warship target.During the simulation experiment,after 12 s of the submarine′s tracking and positioning of the enemy war-ship target,the divergence problem occurs for the EKF and the enemy warship target cannot be tracked in real time,but the UKF can still achieve the tracking and positioning of the enemy warship.
作者 孙旋 熊鹏 张烈平 翟恺祺 SUN Xuan;XIONG Peng;ZHANG Lieping;ZHAI Kaiqi(School of Mechanical and Control Engineering,Guilin University of Technology,Guilin 541006,China)
出处 《现代电子技术》 北大核心 2018年第20期132-136,共5页 Modern Electronics Technique
基金 广西高校科学技术研究项目(2013YB110) 广西空间信息与测绘重点实验室基金项目(15-140-07-23)~~
关键词 潜艇 隐蔽攻击 目标跟踪 无迹卡尔曼滤波 扩展卡尔曼滤波 定位精度 submarine stealthy attack target tracking UKF EKF positioning precision
  • 相关文献

参考文献5

二级参考文献42

  • 1李雄杰,周东华.基于强跟踪滤波器的模拟电路故障在线诊断方法[J].电工技术学报,2007,22(5):13-17. 被引量:6
  • 2潘志坚,阎福旺,刘孟庵,王广恩.纯方位水下目标运动分析方法研究[J].声学学报,1997,22(1):87-92. 被引量:18
  • 3WAN E A,VAN DER MERWE R. The unscented Kalman filter for nonlinear estimation [C]// Proceedings of 2000 Symposium on Adaptive Systems f, Lake Louise, Alta. , Canada.. IEEE, Signal Processing 2000:153-158.
  • 4ZHAO Lin, WANG Xiao-xu. An adaptive UKF with noise statistic estimator [C]// Proceedings of 2009 4th IEEE Conference on Industrial Electronics and Applications. Xi" an, China: IEEE, 20091 614-618.
  • 5BAR-SHALOM Y, LI X R, KIRUBARAJAN T. Estima- tion with applications to tracking and navigation [M]. New York.. John Wiley b- Sons Inc. , 2001 : 381-394.
  • 6SONG T L, SPEYER J L. A stochastic analysis of a modi- fied gain extended kalman filter with applications to estima- tion with bearings only measurements [J]. IEEE Trans. on Automatic Control, 1985, AC-30 (10): 940-949.
  • 7JULIER S J, UHLMANN J, DURRANT-WHYTE H F. A new method for the nonlinear transformation of means and covarianee in filters and estimators [J]. IEEE Trans. on Automatic Control, 2000, 45 (3): 477-482.
  • 8JULIER S J, UHLMANN J K. Unscented filtering and nonlinear estimation [J]. Proceedings of IEEE, 2004, 92 (3) .. 401-421.
  • 9ZHAO Lin, WANG Xiao-xu. An adaptive UKF with noise statistic estimator [C]// )roceedings of 2009 4th IEEE Conference on Industrial Electronics and Applications. Xi" an, China: IEEE, 2009: 614-618.
  • 10夏佩伦.纯方位目标跟踪系统的可观测程度.火力与指挥控制,1992,17(2):23-29.

共引文献8

同被引文献4

引证文献2

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