ZHOU Yu-kun, ZHANG Xiao-yue. Calibration compensation method of geomagnetic sensor based on pre-processing total least square iteration[J]. 2018, (5): 44-46+50.
ZHOU Yu-kun, ZHANG Xiao-yue. Calibration compensation method of geomagnetic sensor based on pre-processing total least square iteration[J]. 2018, (5): 44-46+50. DOI: 10.13873/j.1000-9787(2018)05-0044-03.
基于预处理总体最小二乘迭代的地磁标定补偿
摘要
针对地磁敏感器易受干扰的特点
提出了一种预处理总体二乘迭代地磁标定补偿方法。分析了地磁敏感器的误差模型并提出校正模型
分析模型特点并转换为9个参数量的估计问题
将地磁数据进行希尔伯特黄变换(HHT)滤波处理
提高信噪比
用牛顿迭代法结合最小二乘估计计算待求的9个参数。实验结果表明:方法无需额外设备与器件
可以持续更新校正参数
且优于两步估计法的补偿精度
很好地标定补偿了地磁敏感器。
Abstract
Aiming at the problem that geomagnetic sensor is susceptible to interference
a pre-processing total least square iteration method is proposed for calibration compensation. Error model for geomagnetic sensor is analyzed and the correction model is proposed
characteristics of model are analyzed and converted into estimation problem of nine parameters. The geomagnetic data is filtering processed by Hilbert Huang transform( HHT) to improve signal-to-noise ratio
and the nine parameters are calculated by using the combination of Newton iteration method and the least squares estimation method. The experimental results show that this method does not need additional equipment and devices
it can continuously update calibration parameters
and its compensation precision is prior to the two-step estimation method
it calibrates and compensates geomagnetic sensor error very well.