期刊文献+

最优平滑算法在车辆GPS/DR组合导航系统中的应用 被引量:1

Application of Optimal Smoothing Technique to Vehicle GPS/DR Integrated Navigation System
下载PDF
导出
摘要 文中应用R-T-S平滑算法通过事后处理导航参数来检测和评估GPS/DR组合导航系统的精度,利用GPS和DR提供的静态测试数据通过计算机进行了半物理仿真。结果表明R-T-S平滑算法能够有效地检验和评估GPS/DR组合导航系统的精度,是一种有效的事后处理方法。 This paper uses R-T-S smoothing technique to test and evaluate GPS/DR integrated navigation system via post processing of navigation data. The semi-physical simulation is implemented on computer with the static test data given by GPS and DR. The results obtained show that significant improvements can be obtained by smoothing the data. Not only the precision is improved greatly but also the curves obtained by R-T-S smoother changes more gently than that obtained by Kalman filter.
作者 杨艳娟
出处 《弹箭与制导学报》 CSCD 北大核心 2006年第2期7-9,共3页 Journal of Projectiles,Rockets,Missiles and Guidance
关键词 R-T-S平滑算法 GPS DR 组合导航 R-T-S smoothing GPS DR integrated navigation
  • 相关文献

参考文献4

二级参考文献5

  • 1李华,MCS-51系列单片机实用接口技术,1993年,484页
  • 2袁信,导航系统,1993年,135页
  • 3陆恺,最优估计理论及其在导航中应用,1990年,86,172页
  • 4Hung Seok Seo, Jae Ho Lee. A decoupled GPS/DR integration Kalman filter utilizing carrier measurements [A]. ION GPS'99. 1179-1186.
  • 5房建成,申功勋,李学恩,万德钧,董笑咏.带有速度观测量的GPS动态滤波方法及滤波精度分析[J].控制理论与应用,1998,15(6):914-919. 被引量:6

共引文献16

同被引文献19

  • 1史忠科.U-D分解的前向固定区间平滑新算法[J].自动化学报,1994,20(1):85-90. 被引量:1
  • 2刘建业,袁信.GPS/INS组合导航系统的平滑滤波应用研究[J].航天控制,1995,13(4):36-42. 被引量:8
  • 3吴海仙,俞文伯,房建成.高空长航时无人机SINS/CNS组合导航系统仿真研究[J].航空学报,2006,27(2):299-304. 被引量:36
  • 4Huang S Q.Liu D Z. Some uncertain factor analysis and improvement in spaceborne synthetic aperture radar ima ging[J]. Signal Processng,2007,87. 3202-3217.
  • 5Pedlar D N,Coe D J. Target geolocation using SAR[J]. IEE Proc Radar Sonar Navig.2005,152( 1 ) : 35-42.
  • 6Mohamed M R.Joseph H. Direct posilioning and orientation systems how do they work? What is the attainable accuracy? [C]// American Society of Photogra mmetry and Remote Sensing Annual Meeting, 2001.
  • 7Bierman G J. A new computationally efficient fixed-interval.discrete-time smoother[J]. Automatica, 198:3,19(5): 503-511.
  • 8Zhang Y M,Dai G Z,Zhang H C,et al. A SVD-based extended Kalman filter and applications to aircraft flight state and parameter estimation[C]// Proceedings of 1994 American Control Conference. Maryland: Baltimore, 1994:1809-1813
  • 9Mark I, P. Square root information filtering and fixed-interval smoothing with singularities [C]//Proceedings of 1994 American Control Conference. Pennsylvania: Philadelphia,1998: 2744-2748.
  • 10PooGyeon P,Thomas K. Square root bryson frazier smo othing algorithms[J]. IEEE Transactions on Automatic Control,1995,40(4): 761-766.

引证文献1

二级引证文献16

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