Error calibration of three axis magnetometer based on Global Artificial Fish Swarm Algorithm

Author

Gong Xiaowen ; Song Zhongguo ; Xi Xiaoli

Author_Institution

Coll. of Inf. Eng. & Autom., Xi´an Univ. of Technol., Xi´an, China

fYear

2013

fDate

22-25 Oct. 2013

Firstpage

1

Lastpage

4

Abstract

The Global Artificial Fish Swarm Algorithm (GAFSA) is proposed to calibrate the three-axis magnetometer, taking account of both internal sensor errors and external magnetic field interferences in this paper. A series of simulations and field experiments have been done and the results demonstrate that GAFSA-based calibration method can significantly improve the measurement accuracy of three-axis magnetometer. It also has better robustness and needs less priori knowledge compared to the Particle Swarm Optimization algorithm (PSO) and Nonlinear Least Squares method (NLS).

Keywords

calibration; magnetic field measurement; magnetometers; measurement errors; particle swarm optimisation; GAFSA-based calibration method; global artificial fish swarm algorithm; magnetic field interference; magnetometer; measurement accuracy; sensor error calibration; Calibration; Iron; Magnetic field measurement; Magnetic fields; Magnetometers; Marine animals; Vectors; Global Artificial Fish Swarm Algorithm (GAFSA); calibration; parameter estimate; three-axis magnetometer;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON 2013 - 2013 IEEE Region 10 Conference (31194)

Conference_Location

Xi´an

ISSN

2159-3442

Print_ISBN

978-1-4799-2825-5

Type

conf

DOI

10.1109/TENCON.2013.6718453

Filename

6718453