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大失准角的SINS/GPS组合对准算法研究
引用本文:黄丽斌,周百令.大失准角的SINS/GPS组合对准算法研究[J].全球定位系统,2006,31(1):27-30.
作者姓名:黄丽斌  周百令
作者单位:东南大学仪器科学与工程系,江苏,南京,210096
摘    要:利用四元数误差方程和非线性滤波技术能较好地解决大失准角下SINS的空中对准问题。迭代滤波比扩展卡尔曼滤波能在更大程度上改善对准精度,但计算量大。针对此不足,本文基于扩展卡尔曼滤波的状态与偏差解耦算法具有较高数值效率和迭代滤波具有较高精度的特点,推导出了一种非线性滤波算法,并对基于加性四元数误差方程的SINS/GPS组合对准进行了数字仿真。仿真结果表明:该算法既具有迭代滤波的精度又比迭代滤波计算量小。

关 键 词:非线性滤波  四元数误差方程  SINS/GPS组合对准
文章编号:1008-9268(2006)01-0027-04
修稿时间:2005年10月27

Algorithm Research on SINS/GPS Integrated Alignment of Large Misalignment Angles
HUANG Li-bin,ZHOU Bai-ling.Algorithm Research on SINS/GPS Integrated Alignment of Large Misalignment Angles[J].Gnss World of China,2006,31(1):27-30.
Authors:HUANG Li-bin  ZHOU Bai-ling
Abstract:In the case of large misalignment angles,quaternion error equation and nonlinear filtering can improve the performance of the in-flight alignment of SINS.Iterative filtering can obtain higher alignment precision than extended Kalman filtering.Separate-biased algorithm of extended Kalman filtering is utilized to reduce the large computational cost of iterative filtering.The idea of iterative filtering is introduced to put forward a non-linear filtering algorithm,which is not only of the same accuracy as iterative filtering but also of lower computational cost.The non-linear filtering algorithm is applied to the SINS/GPS integrated alignment based on quaternion error equations.Effectiveness is indicated by numerical emulation.
Keywords:Non-linear filtering  quaternion error equations  SINS/GPS integrated alignment
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