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Calibration of miniature inertial and magnetic sensor units for robust attitude estimation

机译:微型惯性和磁性传感器单元的校准,用于稳健的姿态估计

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摘要

Attitude estimation from miniature inertial and magnetic sensors has been used in a wide variety of applications, ranging from virtual reality, underwater vehicles, handheld navigation devices, to biomotion analysis. However, appropriate sensor calibrations for accurate sensor measurements are essential to the performance of attitude estimation algorithms. In this paper, we present a robust sensor calibration method for accurate attitude estimation from three-axis accelerometers, gyroscopes, and magnetometer measurements. The proposed calibration method only requires a simple pan-tilt unit. A unified sensor model for inertial and magnetic sensors is used to convert the sensor readings to physical quantities in metric units. Based on the sensor model, a cost function is constructed, and a two-step iterative algorithm is then proposed to calibrate the inertial sensors. Due to the difficulties of acquiring the ground-truth of the Earth magnetic field, a simplified pseudomagnetometer calibration method is also presented based on an ellipsoid fitting algorithm. The calibration method is then applied to our sensor nodes, and the good performance of the orientation estimation has illustrated the effectiveness of the proposed sensor calibration method.
机译:微型惯性和磁性传感器的姿态估计已用于各种应用中,从虚拟现实,水下车辆,手持导航设备到生物运动分析。但是,正确的传感器校准对于准确的传感器测量对于姿态估计算法的性能至关重要。在本文中,我们提出了一种鲁棒的传感器校准方法,可通过三轴加速度计,陀螺仪和磁力计测量来精确估计姿态。提出的校准方法仅需要一个简单的云台单元。惯性和磁传感器的统一传感器模型用于将传感器读数转换为公制单位的物理量。基于传感器模型,构造了成本函数,并提出了两步迭代算法对惯性传感器进行标定。由于难以获得地磁场的真实性,还提出了一种基于椭球拟合算法的简化伪磁表标定方法。然后将校准方法应用于我们的传感器节点,方向估计的良好性能说明了所提出的传感器校准方法的有效性。

著录项

  • 作者

    Zhang Z-Q; Yang G-Z;

  • 作者单位
  • 年度 2014
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  • 原文格式 PDF
  • 正文语种 en
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