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

fYear

2013

fDate

21-26 July 2013

Firstpage

1391

Lastpage

1394

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International

Conference_Location

Melbourne, VIC

ISSN

2153-6996

Print_ISBN

978-1-4799-1114-1

Type

conf

DOI

10.1109/IGARSS.2013.6723043

Filename

6723043