测绘学报 ›› 2025, Vol. 54 ›› Issue (8): 1389-1403.doi: 10.11947/j.AGCS.2025.20240473

• 大地测量学与导航 • 上一篇    下一篇

GNSS/INS组合导航左手对称性等变滤波模型及算法

罗亚荣1(), 卢文韬2, 郭迟1,3(), 刘经南1   

  1. 1.武汉大学卫星导航定位技术研究中心,湖北 武汉 430079
    2.武汉大学电子信息学院,湖北 武汉 430079
    3.湖北珞珈实验室,湖北 武汉 430079
  • 收稿日期:2024-11-21 修回日期:2025-07-07 出版日期:2025-09-16 发布日期:2025-09-16
  • 通讯作者: 郭迟 E-mail:yarongluo@whu.edu.cn;guochi@whu.edu.cn
  • 作者简介:罗亚荣(1993—),男,博士,助理研究员,研究方向为几何状态估计理论及应用。E-mail:yarongluo@whu.edu.cn
  • 基金资助:
    国家自然科学基金(42404025);中国博士后科学基金(2023TQ0248);湖北省重大科技专项(2022AAA009)

Left-handed symmetry equivariant filtering model and algorithm for GNSS/INS integrated navigation

Yarong LUO1(), Wentao LU2, Chi GUO1,3(), Jingnan LIU1   

  1. 1.GNSS Research Center, Wuhan University, Wuhan 430079, China
    2.School of Electronic Information, Wuhan University, Wuhan 430079, China
    3.Hubei Luojia Laboratory, Wuhan 430079, China
  • Received:2024-11-21 Revised:2025-07-07 Online:2025-09-16 Published:2025-09-16
  • Contact: Chi GUO E-mail:yarongluo@whu.edu.cn;guochi@whu.edu.cn
  • About author:LUO Yarong (1993—), male, PhD, assistant researcher, majors in geometric state estimation theory and applications. E-mail: yarongluo@whu.edu.cn
  • Supported by:
    The National Natural Science Foundation of China(42404025);China Postdoctoral Science Foundation(2023TQ0248);Major Science and Technology Project of Hubei Province(2022AAA009)

摘要:

当前等变滤波理论主要面向机器人领域的局部观测而构建,无法自然地应用于具有全局观测的惯性基组合导航系统。针对上述问题,本文通过左手对称性构建一个适合全局观测的等变滤波框架,并将其应用于处理包含陀螺零偏和加速度计零偏状态的GNSS/INS组合导航系统。与矩阵李群上的左不变扩展卡尔曼滤波不同,首先,本文利用左手对称性构建等变滤波;其次,利用一个双坐标系群(two-frame group,TFG)推导了顾及零偏状态惯性导航系统上的等变误差动力学矩阵和噪声驱动矩阵;最后,利用一个Cartan-Schouten联络进行协方差平行传输从而完成流形上的曲率修正。试验结果表明:相对于左不变扩展卡尔曼滤波,本文算法在不同大失准角情况下具有较好的瞬态响应,且初始航向角误差为90°时,本文算法平均定位误差降低了36%;同时,组合导航系统在进行曲率修正后有效地提升了滤波稳健性,并且相较于不进行曲率修正的本文算法,其在进行曲率修正后,平均定位误差降低了14%。

关键词: 左手对称性, 群作用, 等变系统, 双坐标系群, GNSS/SINS组合导航, 曲率修正

Abstract:

The current equivariant filtering theory is mainly built for local observation in the field of robotics, and cannot be naturally applied to inertial based integrated navigation systems with global observation. To solve the above problems, this paper constructs an equivariant filtering framework which is suitable for global observation through left-handed symmetry, and applies it to GNSS/SINS integrated navigation system which includes gyroscope bias and accelerometer bias states. Different from the left invariant extended Kalman filtering (EKF) on matrix Lie group, firstly, the left-handed symmetry is used to construct the equivariant filtering. Secondly, a two-frame group is employed to derive the linearized error dynamic matrix and the noise driven matrix of equivariant error for a biased inertial navigation system. Finally, a Cartan-Schouten connection is used for covariance parallel transport to complete the curvature correction on the manifold. The experimental results show that the proposed filtering algorithm has better transient response under different large misalignment angles compared with left invariant EKF. Additionally, when the initial yaw error is 90°, the average position error of the proposed filter reduces by 36% compared to left invariant EKF. At the same time, the integrated navigation system can effectively improve the robustness of the filter after curvature correction, and compared to the proposed filter without curvature correction, the average position error reduces by 14% after curvature correction.

Key words: left-handed symmetry, group action, equivariant system, two-frame group, GNSS/SINS integrated navigation, curvature correction

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