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组合导航系统INS/GNSS/SAR及其降阶模型性能的研究
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
作者姓名:邹维宝  高社生  任思聪
作者单位:西北工业大学自动控制系,西安,710072
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.

关 键 词:组合导航系统   卡尔曼滤波   降阶模型
文章编号:1000-8152(2002)01-0135-04
收稿时间:1999-10-19
修稿时间:1999-10-19

Performance Study of INS/GNSS/SAR Integrated Navigation System and Its Reduced-Order Model
ZOU Weibao,GAO Shesheng and REN Sicong. Performance Study of INS/GNSS/SAR Integrated Navigation System and Its Reduced-Order Model[J]. Control Theory & Applications, 2002, 19(1): 135-138
Authors:ZOU Weibao  GAO Shesheng  REN Sicong
Affiliation:Department of Automatic Control, Northwestern Polytechnical University, Xi'an, 710072, P.R.China;Department of Automatic Control, Northwestern Polytechnical University, Xi'an, 710072, P.R.China;Department of Automatic Control, Northwestern Polytechnical University, Xi'an, 710074, P.R.China
Abstract: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.
Keywords:integrated navigation system   Kalman filter   reduced_order model
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