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A Novel Auto-calibration Method of the Vector Magnetometer

机译:矢量磁强计的自动校准新方法

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Many types of magnetometers have been used to measure the magnetic field vector in a wide range of commercial and military applications.Measured value of magnetometer is corrupted by various errors.In general,magnetometer output errors are caused by random instrument noise,constant biases,scale factor deviations,nonorthogonality of the sensor axes. The high accuracy measurement of magnetic field requires calibrating precisely the magnetometer and compensating measured error of magnetic field.In this paper a novel auto-calibration method of the vector magnetometer is presented. The auto-calibration method can be separated into two steps: fitting ellipsoid to the 3D measured data and solving the model parameters of magnetometer from the fitting ellipsoid. According to the model parameters the measured data is corrected to improve the precision of magnetometer. The ellipsoid fitting algorithm and the model parameter solution are all linear to avoid the nonlinear calculation and the complex iteration. to evaluate the performance of the auto-calibration method,the simulation experiments were performed. The results show that the new method is more convenient the conventional methods,and have many advantages such as: quick,stable,high precision and insensitive to small errors in the data.
机译:在广泛的商业和军事应用中,已经使用了许多类型的磁力计来测量磁场矢量。磁力计的测量值会受到各种误差的破坏。通常,磁力计的输出误差是由随机的仪器噪声,恒定的偏差,刻度引起的。因子偏差,传感器轴的非正交性高精度的磁场测量需要精确校准磁力计并补偿磁场的测量误差。本文提出了一种新颖的矢量磁力计自动校准方法。自动校准方法可以分为两个步骤:将椭球体拟合到3D测量数据,并从拟合的椭球体求解磁力计的模型参数。根据模型参数对测量数据进行校正,以提高磁力计的精度。椭圆拟合算法和模型参数解都是线性的,以避免非线性计算和复杂的迭代。为了评估自动校准方法的性能,进行了仿真实验。结果表明,该新方法比常规方法更方便,具有快速,稳定,高精度,对数据中的小错误不敏感等优点。

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