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A Robust Method for Alignment Calibration of an Inertial Measurement Unit (IMU) and Doppler Sensors

机译:惯性测量单元(IMU)和多普勒传感器对准校准的稳健方法

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摘要

Alignment calibration of an inertial measurement unit (IMU) and Doppler sensors is a key factor that limits the accuracy of inertial navigation system (INS)/Doppler velocity log (DVL) integrated navigation. The commonly used methods in alignment calibration that need continuous externally-aided information are inconvenient for underwater vehicle applications. In this paper, we propose a simple and easy alignment calibration method, which only needs one additional position besides the initial position. Nevertheless, the DVL-aided INS initial alignment is still a challenge, as it impacts the accuracy of the proposed calibration method. Therefore, an attitude backtracking technique that can improve the calibration robustness is proposed. Experimental results show that the proposed method is able to eliminate the effects of the INS initial alignment and hence yield reliable calibration results.
机译:惯性测量单元(IMU)和多普勒传感器的对准校准是限制惯性导航系统(INS)/多普勒速度测井(DVL)集成导航精度的关键因素。对准校准中常用的方法,需要连续的外部辅助信息,对于水下航行器应用来说很不方便。在本文中,我们提出了一种简单易行的对准校准方法,该方法只需要在初始位置之外再增加一个位置即可。然而,DVL辅助的INS初始对准仍然是一个挑战,因为它会影响所提出的校准方法的准确性。因此,提出了一种可以提高校准鲁棒性的姿态回溯技术。实验结果表明,该方法能够消除INS初始比对的影响,从而获得可靠的校准结果。

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