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Quaternion optimization based in-flight calibration approach for POS

机译:基于四元数优化的POS机内校准方法

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摘要

Position and Orientation System (POS) is a key technology which provides motion compensation information for imaging sensor in airborne remote sensing. But precision of POS is degraded by gyroscope bias excursion as time flows, in-flight calibration is the most convenient way to solve this problem to the users, but the existing methods are mostly based on kalman filter, the effect of them to estimate the bias error is unpractical as affected severely by GPS measurement error and model error. On the basis of quaternion optimization based in-flight alignment approach, a novel airborne POS in-flight calibration approach based on quaternion optimization is devised in this paper, which adds the factor of attitude error promulgation by gyroscope bias error into the algorithm and gyroscope bias error is recognized by parse analysis. Flight experiments demonstrate that with the proposed algorithm the gyroscope bias error can be recognized in acceptable precision.
机译:位置和定位系统(POS)是一项关键技术,可为机载遥感中的成像传感器提供运动补偿信息。但是随着时间的流逝,陀螺仪的偏差偏移会降低POS的精度,对于用户而言,空中校准是解决此问题的最便捷方法,但是现有方法大多基于卡尔曼滤波器,它们的作用是估算偏差GPS测量误差和模型误差会严重影响该误差,因此不切实际。在基于四元数优化的飞行对准方法的基础上,设计了一种新的基于四元数优化的机载POS机内校准方法,该方法将陀螺仪偏置误差引起的姿态误差发布因素添加到算法和陀螺仪偏置中通过分析分析识别错误。飞行实验表明,利用所提出的算法,陀螺仪偏置误差可以以可接受的精度被识别。

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