期刊文献+

面向状态估计的水下多传感器信息融合技术研究 被引量:1

Research on State Estimation Oriented Underwater Multi-sensors Information Fusion
下载PDF
导出
摘要 面向状态估计,阐述适于水下多传感器信息融合的技术。分析数据关联的若干方法:"最近邻"方法、"联合概率数据"、"多假设方法"、"基于神经网络的数据关联法"的特点。研究适于反鱼雷精度较高的占用网格框架下的目标距离估计技术。 Technologies of state estimation oriented underwater multi-sensors information fusion are performed in the paper.Methods of data association such as,the nearest neighbor algorithm,joint probabilistic data association algorithm,multiple hypothesis algorithm,neural network based data association algorithm are anglicized.Furthermore,the precise occupation grid method for target distance estimation adapted to torpedo and anti-torpedo is researched.
作者 綦辉
机构地区 海军潜艇学院
出处 《舰船电子工程》 2008年第7期11-14,共4页 Ship Electronic Engineering
关键词 信息融合 数据关联 状态估计 information fusion data association state estimation
  • 相关文献

参考文献7

  • 1何友等著..多传感器信息融合及应用[M].北京:电子工业出版社,2000:336.
  • 2[2]Singer R A,Stein J J.An optimal tracking filter forprocessing sensor data of imprecisely determined origin in surveillance systems[C].The 1971 IEEE Conference on Decision and Control,Miami Beach,1971 被引量:1
  • 3[3]Bar-Shalom Y,Jaffrey A G.Adaptive nonlinear filtering for tracking with measurements of uncertain[C].The 11th IEEE Conference on Decision and Control,1972 被引量:1
  • 4[4]Reid D B.An algorithm for tracking multiple targets[J].IEEE Trans.Automatic Control,1978,24(6):843~854 被引量:1
  • 5[5]Elves.Sonar-based real-world mapping and navigation[J].IEEE Journal of Robotics and Automation,RA-3 (3),1987,6 被引量:1
  • 6[6]Duda,R.O.Hart,P.E.,Nilsson,N.J.Subjective Bayesian Methods for Rule-Based Inference Systems[C].AFIPS Conference Pro.,AFTPS Press,1976,45:1075~1082 被引量:1
  • 7[3]卢田金.数据融合应用技术[M].北京:海洋出版社,2000,12 被引量:2

共引文献1

同被引文献9

  • 1DORR R, KRATZ F, RAGOT J. Detection, isolation, and identification of sensor faults in nuclear power plants [ J]. IEEE Trans on Control Systems Technology, 2006, 5 (1) : 42 -60. 被引量:1
  • 2BEGLER PI. Sharer Dempster Reasoning with Application to Multisensor Target Identification System [ J]. IEEE Transon SMC, 2005 (17): 968-977. 被引量:1
  • 3Li X R, ZHANG P. Optimal linear estimation fusion - part Ⅲ [ C ] // 2001 International conf. Information fusion. Montreal: Montreal Press, 2001 : 11 - 18. 被引量:1
  • 4BOCKLISCH G. Prozebanalyse mit unscharfen Verfahren [ C] //VEB Verlag, Tecnik, Beilin, 1997, 6 (2) : 52 - 60. 被引量:1
  • 5BRUCKER G. Programebeschreibung Zufubu PH erfurt muhlhausen [ J]. Instiitur fur chemie, 2002, 3 ( 1 ) : 64 - 71. 被引量:1
  • 6杨国胜.数据融合理论及应用[M].北京:兵器工业出版社,2005. 被引量:1
  • 7SOLIS I, OBRACZKA K. The Impactin of Timing in Data Aggregation for Sensor Networks [ C] //2004 IEEE International Conferenceon on Communications. London: AFIPS Press, 2004:3 640 - 3 645. 被引量:1
  • 8何友 王国宏.多传感器信息融合及应用[M].北京:电子工业出版社,2002.. 被引量:11
  • 9万树平.基于偏差的多传感器目标级融合方法[J].传感器与微系统,2009,28(1):22-23. 被引量:3

引证文献1

二级引证文献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