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最优平滑算法在 GPS/SINS组合导航系统事后分析中的应用 被引量：4

Application of Optimal Smoothing Algorithm to the Post-Mission Analysis of GPS/SINS Integrated System
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摘要 组合导航系统通常采用Kalman滤波来实现对系统状态的估计,由于最优平滑算法的精度比Kalman滤波的精度高,并且平滑结果反映了系统在理想情况下能够达到的潜在精度,因此可以采用最优平滑算法对组合导航系统进行事后分析。本文介绍了R-T-S最优平滑算法,并将其应用于某船用GPS/SINS组合导航系统的时候分析和处理中,给出了系统仿真结构图,进行了仿真。仿真结果表明,平滑算法是一种有效的事后分析方法。 Because the result of the smoothing can reflect the potential accuracy that the system can reach in ideal condition, we can test and evaluate the performance of the system by comparing the outputs of the Kalman filter with that of optimal smoother. We apply the R-T-S fixed interval optimal smoother to the post-mission performance evaluation of the marine GPS/SINS integrated navigation system. The simulation diagram is given and the simulation results shown in Fig. 2 and Fig.3 indicate that the optimal smoothing algorithm is a valid method of post-mission analysis and process.
作者 杨艳娟
机构地区 华南理工大学工业装备与控制工程学院
出处 《弹箭与制导学报》 CSCD 北大核心 2004年第1期5-7,共3页 Journal of Projectiles,Rockets,Missiles and Guidance
关键词 组合导航 最优平滑算法 GPS SINS 卡尔曼滤波 舰船 integrated navigation R-T-S optimal smoothing algorithm Kalman filter GPS SINS
分类号 V249.328 [航空宇航科学与技术—飞行器设计] U666.12 [交通运输工程—船舶及航道工程]
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参考文献3

  • 1Qi Honghui, Moore J B. Direct Kalman Filtering Approach for GPS/SINS Integration [J]. IEEE Transactions on Aerospace and Electronic Systems, 2002, 38(2): 687-693.
  • 2Rauch H E, Tung Fand Striebel C T. Maximum likelihood estimates of linear dynamic systems[J]. AIAA J 3, 1965:1445- 1450.
  • 3Raymond A, Nash J R, Joseph F. Application of Optimal Smoothing to the Testing and Evaluation of Inertial Navigation System and Components [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1971. 16(6).

同被引文献24

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弹箭与制导学报
2004年 第1期

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