计算机工程与应用2012，Vol.48Issue(28)：31-35,5.DOI:10.3778/j.issn.1002-8331.2012.28.007
基于IIR的数据同步方法在组合对准中的应用
Research on data synchronization for integrated alignment based on IIR
摘要
Abstract
In order to resolve the non-synchronous data streams from Strapdown Inertial Navigation System(SINS) and Global Positioning System(GPS), a novel high precision integrated alignment method of vehicle by digital filter is proposed in this paper. Based on the error characteristic of SINS and the discrete velocity from GPS, a digital high-pass filter, which implements a pre-filtering scheme of the measured signal, is used to filter the Schuler, Fou-cault and Earth cycle of discrete velocity difference between the SINS and GPS. Then the accuracy velocity can be calculated by filtered velocity and the proposed by GPS. Therefore, the observation which is calculated by the accuracy velocity and the calculation by SINS can be used to finish the integrated alignment by Kalman filter. The validity of this approach can improve greatly the accuracy and the convergence time to satisfy the required accuracy from simulation results.关键词
捷联惯性导航系统/组合对准/高通滤波/舒勒周期/卡尔曼滤波Key words
Strapdown Inertial Navigation System (SINS)/ integrated alignment/ high-pass filter/ Schuler cycle/ Kalman filter分类
交通工程引用本文复制引用
孙伟,徐爱功,车莉娜..基于IIR的数据同步方法在组合对准中的应用[J].计算机工程与应用,2012,48(28):31-35,5.基金项目
辽宁省教育厅科学研究一般项目(No.L2011047) （No.L2011047）
辽宁省高等学校优秀人才支持计划资助(No.LR201018). （No.LR201018）
