A Time Synchronization Algorithm Based on Correlation Analysis in GNSS/INS Integrated Navigation

Haoli Zhang, Jiaju Guo, Xin Liu, Dezhong Zhou, Yanqing Hou
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Abstract

In the intelligent unmanned vehicles swarm systems, multi-sensor integrated navigation is commonly used to provide reliable positioning solutions. To correctly fuse the measurements from multiple sensors, their time should be precisely synchronized. Aiming at the problem of multi-sensor time synchronization, this paper proposes a time synchronization algorithm based on correlation analysis between velocities or accelerations measured by different sensors. Taking the Global Navigation Satellite System (GNSS) and the inertial navigation system (INS) as experimental object, a field test was conducted to verify the performance of the proposed algorithm in a GNSS/INS integrated navigation system. The results show that the algorithm can indeed calibrate the time transmission delay or clock source inconsistency between GNSS and INS within a certain range of misalignment. The accuracies of calibration are 95.71% and 99.64% under velocities and accelerations correlation analysis, respectively.
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基于相关性分析的GNSS/INS组合导航时间同步算法
在智能无人车群系统中,多传感器组合导航通常用于提供可靠的定位解决方案。为了正确地融合来自多个传感器的测量,它们的时间应该精确同步。针对多传感器时间同步问题,提出了一种基于不同传感器测量速度或加速度相关性分析的时间同步算法。以全球卫星导航系统(GNSS)和惯性导航系统(INS)为实验对象,在GNSS/INS组合导航系统中进行了现场测试,验证了所提算法的性能。结果表明,该算法确实可以在一定的误差范围内校准GNSS与INS之间的时间传输延迟或时钟源不一致。在速度和加速度相关分析下,标定精度分别为95.71%和99.64%。
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