Constrained Total Least Squares Algorithm Applied to Three-Axis Magnetometer Calibration

Zhi Tian Wu; Xiao Ping Hu; Mei Ping Wu

doi:10.4028/www.scientific.net/AMM.278-280.968

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 278-280Constrained Total Least Squares Algorithm Applied...

Constrained Total Least Squares Algorithm Applied to Three-Axis Magnetometer Calibration

Abstract:

Strapdown three-axis magnetometer is becoming increasingly used in navigation systems and in biomedical applications. A calibration must be performed before the magnetometer can be used, because its outputs are often corrupted by various magnetic field sources. This paper presents a new calibration algorithm based on constrained total least squares (CTLS) to determine different calibration parameters such as sensor non-orthogonality, scale factors, offsets, hard iron and soft iron errors. The basic idea is to convert the calibration problem into an unconstrained nonlinear optimization problem. An iterative technique based on Newton’s method is applied to give a numerical solution. Simulation results show that the proposed CTLS algorithm gives more accurate solutions than compared algorithms.

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Periodical:

Applied Mechanics and Materials (Volumes 278-280)

Pages:

968-973

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.278-280.968

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Online since:

January 2013

Authors:

Zhi Tian Wu, Xiao Ping Hu, Mei Ping Wu

Keywords:

Calibration, Constrained Total Least Squares (CTLS), Newton Method, Three-Axis Magnetometer

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