一种MIMU/GNSS/磁强计/偏振光综合罗经算法

Xiaofeng He, Ruiguang He, Chen Fan, Lilian Zhang, Hang Shang, Mingyao Yuan
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引用次数: 1

摘要

提出了一种改进的微型无人飞行器MIMU/GNSS/磁强计/偏振光综合寻北算法。磁强计是一种廉价而广泛使用的寻北导航设备。白天来自太阳的天空偏振光具有决定用户到太阳的相对距离矢量的特殊特性。给出太阳的位置,就可以计算出天文台的航向角。该算法采用偏振光和磁强计获取航向角,提高了经典MIMU/GNSS组合导航的可观测性。利用卡尔曼滤波对MIMU、GNSS位置、速度和航向角进行积分。通过地面车辆现场实验,验证了该算法的可行性。偏航角精度优于1°。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A MIMU/GNSS/Magnetometer/Polarized Light Integrated Compass Algorithm
This paper presents an improved algorithm for MIMU/GNSS/Magnetometer/Polarized light integrated north finding for micro-unmanned vehicles. The magnetometer is a cheap and widely used navigation equipment to find north. Sky polarized light from the sun in the daytime has the special characteristic to determinate the relative range vector from the user to the sun. Then the heading angle of the observatory can be calculated if the positioning of the sun is given. The proposed algorithm adopts the polarized light and magnetometer to obtain the heading angle to improve the observability of the classical MIMU/GNSS integrated navigation. Kalman filter is used to integrate the MIMU, GNSS position, velocity and the heading angle. Some land vehicle field experiments were carried out to demonstrate the feasibility of the algorithm in this paper. The accuracy of yaw angle is better than 1°.
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