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APPLICATION OF INTERVAL KALMAN FILTER TO AN INTEGRATED GPS/INS SYSTEM 被引量:2

区间Kalman滤波器及其在GPS/INS组合导航系统中的应用(英文)
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摘要 An interval Kalman filter (IKF) algorithm based on the interval conditional expectation is applied to an integrated global positioning system/inertial navigation system (GPS/INS). Because the IKF algorithm is applicable only to linear interval systems, the extended interval Kalman filter (EIKF) algorithm for non linear integrated systems is developed. A high dynamic aircraft trajectory is designed to test the algorithm developed. The results of computer simulation indicate that the EIKF algorithm is consistent with the traditional SKF scheme, and is also effective for uncertain non linear integrated system. 研究了基于区间条件期望的区间Kalman滤波算法,并将其应用到了GPS/INS组合导航系统中。由于区间Kalman滤波算法仅适用于线性区间系统,本文给出了适合于非线性系统的推广区间Kalman滤波算法。本文还设计了一条高动态飞行轨迹来检验所提出的滤波算法。测度结果表明,推广的区间Kalman滤波算法对于不确定的组合导航系统是有效的。
出处 《Transactions of Nanjing University of Aeronautics and Astronautics》 EI 1999年第1期41-47,共7页 南京航空航天大学学报(英文版)
关键词 GPS INS Kalman filter simulation filter algorithm 惯性导航系统 全球卫星定位系统 卡尔曼滤波器 仿真 滤波算法
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同被引文献15

  • 1岳晓奎,袁建平.区间卡尔曼滤波算法及其在载波相位组合导航中的应用[J].西北工业大学学报,2005,23(1):6-10. 被引量:4
  • 2马云峰.区间卡尔曼滤波算法在组合导航数据融合中的应用[J].潍坊学院学报,2006,6(6):1-4. 被引量:1
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