期刊文献+

惯性技术视角下动态重力测量技术评述(三):惯性导航与重力测量的融合 被引量:5

Overview on Dynamic Gravimetry in the Perspective of Inertial Technology,Part Ⅲ:The Fusion of Inertial Navigation and Gravimetry
在线阅读 下载PDF
导出
摘要 动态重力仪和惯性导航系统的核心元件都是惯性元件,即陀螺仪和加速度计(重力传感器可以认为是一种特殊的加速度计),因此重力测量与惯性导航具有紧密的联系。从比力测量、物理与数学平台、惯性手段辅助重力测量,以及重力辅助惯性导航等方面分析了重力仪与惯性导航系统的紧密联系。并对惯性导航与重力测量的融合应用进行了分析。 Both dynamic gravimeters and inertial navigation systems have inertial sensors as their core components,i.e.gyroscopes and accelerometers,and the latter includes gravimetric sensors.So there are close connections between gravimetry and inertial navigation.The connections between gravimeters and inertial navigation system are analyzed in the perspectives of specific force measurement,physical and mathematical platform,inertial technology aided gravimetry,gravity aided inertial navigation,and so on.The fused application of gravimetry and inertial navigation is also analyzed.
出处 《海洋测绘》 2014年第5期7-12,共6页 Hydrographic Surveying and Charting
基金 国家自然科学基金(41374018)
关键词 重力测量 惯性技术 重力仪 惯性导航系统 陀螺仪 加速度计 姿态 平台 捷联 gravimetry inertial technique gravimeter inertial navigation system gyroscope accelerometer attitude platform strapdown
作者简介 常国宾(1984-),男,山东荷泽人,工程师,博士,主要从事组合导航、重力测量、航天器姿态估计和最优估计理论研究.
  • 相关文献

参考文献30

  • 1Bekir E.Introduction to modem navigation systems[ M]. Beijing : World Scientific, 2007.
  • 2Hofmann-Wellenhof B, Moritz H.Physical geodesy [ M ]. New York: Springer, 2006.
  • 3Jircitano A, Dosch DE. Gravity aided inertial navigation system ( GAINS ) [ C ]//In : Instit.of Navig., 47th Annual Meeting ; 1991 : 221-229.
  • 4Chatfield AB. Fundamentals of high accuracy inertial navigation[M]. AIAA, 1997.
  • 5Jekeli C. Inertial navigation systems with geodetic applications [ M ]. Walter de Gmyter, 2001.
  • 6Kwon JH, Jekeli C. Gravity requirements for compensation of ultra-precise inertial navigation [ J ]. Journal of Navigation, 2005,58 ( 3 ) : 479- 492.
  • 7李胜全,欧阳永忠,常国宾,金际航,李科.惯性导航系统重力扰动矢量补偿技术[J].中国惯性技术学报,2012,20(4):410-413. 被引量:18
  • 8Richeson JA. Gravity gradiometer aided inertial navigation within non-GNSS environments [ D ]. College Park: University of Maryland, 2008.
  • 9蔡体菁.Novel gravity passive navigation system[J].Journal of Southeast University(English Edition),2006,22(1):59-63. 被引量:10
  • 10Zhigang Wang Shaofeng Bian.A local geopotential model for implementation of underwater passive navigation[J].Progress in Natural Science:Materials International,2008,18(9):1139-1145. 被引量:14

二级参考文献51

  • 1ZHAOChunmei,OUJikun,YUANYunbin.Positioning accuracy and reliability of GALILEO, integrated GPS-GALILEO system based on single positioning model[J].Chinese Science Bulletin,2005,50(12):1252-1260. 被引量:14
  • 2李建成,宁津生,晁定波.卫星测高在物理大地测量应用中的若干问题[J].武汉测绘科技大学学报,1996,21(1):9-14. 被引量:16
  • 3张昌达.航空重力测量和航空重力梯度测量问题[J].工程地球物理学报,2005,2(4):282-291. 被引量:30
  • 4HEIN G W,HEHL K,LANDAU H,et al.Experiments for an integrated precise airborne navigation and gravity recovery system[C]// Proceeding of the IEEE Position Location and Navigation Symposium.1990:279-285.
  • 5TORGE W.Gravimetry[M].New York:Walter de Gruyter,1989.
  • 6SNEEUW N,GERLACH C,MULLER J.et al.Fundamentals and applications of the gravity field mission GOCE[C]//Towards an Integrated Global Geodetic Observing System(IGGOS),Proceedings of the lAG Section Ⅱ Symposium.Munich,Germany,1 998:205-208.
  • 7周坚鑫,刘浩军,王守坦.航空重力测量在我国地球物理勘探中的应用展望[C]//中国地球物理学会第十九届年会论文集,南京,2003:173.
  • 8THOMPSON L.Airborne gravity meter test[J].Journal of Geophysical Research,1 959,64(4):488.
  • 9WILLIAM R G.An historical review of airborne gravity[J].The Leading Edge,1998(1):113-116.
  • 10PETERS M F,BROZENA J M.Methods to improve existing shipboard gravimeters for airborne gravimetry[C]//IUGG XXI General Assembly,IAG Symp G4,1995:39-45.

共引文献137

同被引文献76

  • 1霍德聪,黄琳,李岩,陶志刚,李松明.星敏感器在轨测量误差分析[J].遥感学报,2012,16(S1):57-60. 被引量:8
  • 2张红良,郭鹏宇,李壮.一种视觉辅助的惯性导航系统动基座初始对准方法[J].中国惯性技术学报,2014,12(4):469-473. 被引量:8
  • 3任来平,张襄安,刘国斌.海洋磁力测量系统误差来源分析[J].海洋测绘,2004,24(5):5-8. 被引量:17
  • 4陶本藻,邱卫宁.误差理论与测量平差[M].武汉:武汉大学出版社,2012.
  • 5Chang G.Loosely Coupled INS/GPS Integration with Constant Lever Arm using M arginal Unscented Kalman Filter[J].The Journal of Navigation,2014,67(3):419-436.
  • 6Simon D.Optimal state estimation:Kalman,H∞,and nonlinear approaches[M].New Jersey:WileyInterscience,2006.
  • 7Yang L,Wang J,Knight NL,et al.Outlier separability analysis w ith a multiple alternative hypotheses test[J].Journal of Geodesy,2013,87(6):591-604.
  • 8Huber PJ,Ronchetti EM.Robust Statistics[M].2nd ed.New Jersey:John Wiley&Sons,2009.
  • 9Koch K-R.Robust estimations for the nonlinear Gauss Helmert model by the expectation maximization algorithm[J].Journal of Geodesy,2014,88(3):263-271.
  • 10Yang Y,He H,Xu G.Adaptively robust filtering for kinematic geodetic positioning[J].Journal of Geodesy,2001,75(2):109-116.

引证文献5

二级引证文献21

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