论文:2016,Vol:34,Issue(5):837-842
引用本文:
高翔, 严胜刚, 李斌. 基于最小二乘的磁通门梯度仪转向差校正方法[J]. 西北工业大学学报
Gao Xiang, Yan Shenggang, Li Bin. Error Calibration Method for Magnetic Gradiometer Base on Least Square[J]. Northwestern polytechnical university

基于最小二乘的磁通门梯度仪转向差校正方法
高翔, 严胜刚, 李斌
西北工业大学 航海学院, 陕西 西安 710072
摘要:
针对磁通门梯度仪中单个磁通门传感器由于加工工艺等原因存在零偏误差、灵敏度误差和三轴非正交误差,且多个磁通门传感器由于安装误差存在摆放方位不一致的问题,建立了磁梯度仪的自校正模型和互校正数学模型,采用最小二乘算法对2种模型参数进行求解。实验结果表明该校正方法求解方便、可操作性强,三轴磁通门梯度仪在稳定的地磁场环境下采集多组磁场数据,就能有效降低磁梯度仪转向差引起的测量误差,提高磁梯度测量精度。
关键词:    磁梯度仪    磁通门传感器    自校正模型    互较准模型    最小二乘算法   
Error Calibration Method for Magnetic Gradiometer Base on Least Square
Gao Xiang, Yan Shenggang, Li Bin
School of Marine Science and Technology, Northwestern Polytechnical University, Xi'an 710072, China
Abstract:
According to the problem that there are measuring errors in tri-axis fluxgate magnetometers caused by zero-shit, different sensitivity and nonorthogonality due to the processing technology and other factors, mathematical models of self-calibration were established. Regarding to the inconsistencies of mounting position for different fluxgate gradiometers, mathematical models of mutual calibration were built. Using least square algorithm to acquire the error parameters of magnetic gradiometer. The experimental results proved the convenience and operability of the error calibration method, which can effectively improve the measurement accuracy of fluxgate gradiometer using a set of field data collected in a stable geomagnetic environment.
Key words:    fluxgate gradiometer    tri-axis fluxgate magnetometers    self-calibration model    mutual calibration model    least square algorithm   
收稿日期: 2016-03-25     修回日期:
DOI:
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作者简介: 高翔(1988-),西北工业大学博士研究生,主要从事磁传感器校正、磁性目标定位的研究。
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