引用本文:邹维宝,高社生,任思聪.组合导航系统INS/GNSS/SAR及其降阶模型性能的研究[J].控制理论与应用,2002,19(1):135~138.[点击复制]
ZOU Weibao,GAO Shesheng,REN Sicong.Performance Study of INS/GNSS/SAR Integrated Navigation System and Its Reduced-Order Model[J].Control Theory and Technology,2002,19(1):135~138.[点击复制]
组合导航系统INS/GNSS/SAR及其降阶模型性能的研究
Performance Study of INS/GNSS/SAR Integrated Navigation System and Its Reduced-Order Model
摘要点击 1653  全文点击 1553  投稿时间：1999-10-19  修订日期：2000-09-11
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DOI编号  10.7641/j.issn.1000-8152.2002.1.029
  2002,19(1):135-138
中文关键词  组合导航系统  卡尔曼滤波  降阶模型
英文关键词  integrated navigation system  Kalman filter  reduced_order model
基金项目  
作者单位E-mail
邹维宝 西北工业大学 自动控制系, 西安 710072 jszouwb@263.net 
高社生 西北工业大学 自动控制系, 西安 710072  
任思聪 西北工业大学 自动控制系, 西安 710072  
中文摘要
      介绍了高阶组合导航系统惯性导航系统 (INS) /全球导航卫星系统 (GNSS) /合成孔径雷达 (SAR)及其降阶模型. 降阶系统的卡尔曼滤波时间大大缩短了, 但其精度并未有大的降低. 仿真结果证明, INS/GNSS/SAR的降阶模型仍可为飞机提供满意的导航精度.
英文摘要
      This paper introduces a full_order inertial navigation system(INS)/global navigation satellite system(GNSS)/synthetic aperture radar(SAR) integrated navigation system and its reduced_order model. The computation time of Kalman filter for reduced_order model is decreased with little loss in accuracy. The simulation results prove that the reduced_order model can also provide satisfactory accuracy for aircraft navigation.