Title :
An error calibration method based on BPANN algorithm for three-axis magnetometers
Author :
Lei Jiang ; Ziqi Guo ; Baogang Zhang
Author_Institution :
State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Applic., Beijing, China
Abstract :
Due to the effects of nonorthogonality, scale factor and zero-shifts, Three-axis Fluxgate Magnetometers (TFMs) with the attitude changes have certain errors. Therefore, it´s quite necessary to establish a calibration method to get high precision magnetic information. Back Propagation Artificial Neural Network (BPANN) algorithm is used to correct the system errors of measured data in this paper. The results show that the BPANN method can well calibrate the data error of TFMs. The measuring error of geomagnetic field decreases obviously after calibration.
Keywords :
backpropagation; calibration; geophysical equipment; magnetometers; neural nets; BPANN algorithm; Back Propagation Artificial Neural Network; Fluxgate Magnetometers; error calibration method; geomagnetic field; nonorthogonality; scale factor; three axis magnetometers; zero shifts; Calibration; Magnetic field measurement; Magnetic separation; Magnetometers; Measurement uncertainty; Vectors; BPANN algorithm; Nonorthogonality; Scale factor; TFMs; Zero-shifts;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723043
