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一种模糊QR滤波及在组合导航中的仿真研究
引用本文:马瑞平,张明廉. 一种模糊QR滤波及在组合导航中的仿真研究[J]. 计算机工程与应用, 2007, 43(7): 240-242,245
作者姓名:马瑞平  张明廉
作者单位:北京航空航天大学,北京100083
摘    要:总结了常用的自适应滤波的方法,并提出了一种基于模糊逻辑的自适应卡尔曼滤波技术,用模糊逻辑自适应推理器来“在线”修正卡尔曼滤波系统噪声协方差Q和测量噪声协方差R,从而使滤波器不断执行最优估计。仿真结果表明该方法可以提高GPS/INS组合导航系统的精度和可靠性。

关 键 词:组合导航  GPS/INS  自适应卡尔曼滤波  模糊逻辑
文章编号:1002-8331(2007)07-0240-03
修稿时间:2006-07-01

Fuzzy QR adaptive filter for GPS/INS integrated system
MA Rui-ping,ZHANG Ming-lian. Fuzzy QR adaptive filter for GPS/INS integrated system[J]. Computer Engineering and Applications, 2007, 43(7): 240-242,245
Authors:MA Rui-ping  ZHANG Ming-lian
Affiliation:Beihang University,Beijing 100083,China
Abstract:In this paper,a newly developed adaptive fuzzy Kalman filter algorithm is analyzed,and proposed to replace the conventional Kalman filtering approach for the Inertial Navigation System(INS)/Global Positioning System(GPS) integrated system.The system noise covariance matrix(Q) and the measurement noise covariance matrix(R) are modified online by the fuzzy logic controller to improve the positioning accuracy of the integrated navigation system.Simulation results show that the proposed algorithm can improve the performance(accuracy and reliability) of the integrated GPS/INS system filtering process.
Keywords:integrated navigation   GPS/INS   adaptive Kalman filter   fuzzy logic
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