The soft iron and hard iron calibration method using extended kalman filter for attitude and heading reference system

  • Pengfei Guo*
  • , Haitao Qiu
  • , Yunchun Yang
  • , Zhang Ren
  • *Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The calibration method of the soft iron and hard iron distortion based on attitude and heading reference system (AHRS) can boil down to the estimation of 12 parameters of magnetic deviation, normally using 12-state kalman filter (KF) algorithm. The performance of compensation is limited by the accuracy of local inclination angle of magnetic field and initial heading. A 14-state extended kalman filter (EKF) algorithm is developed to calibrate magnetic deviation, local magnetic inclination angle error and initial heading error all together. The calibration procedure is to change the attitude of AHRS and rotate it two cycles. As the strapdown matrix can hold high precision after initial alignment of AHRS in short time for the gyro's short-term precision, the magnetic field vector can be projected onto the body frame of AHRS. The experiment results demonstrate that 14-state EKF outperforms 12-state KF, with measurement errors exist in the initial heading and local inclination angle. The heading accuracy (variance) after compensation is 0.4 degree for tilt angle ranging between 0 and 60 degree.

Original languageEnglish
Title of host publication2008 IEEE/ION Position, Location and Navigation Symposium, PLANS
Pages1167-1174
Number of pages8
DOIs
StatePublished - 2008
Event2008 IEEE/ION Position, Location and Navigation Symposium, PLANS - Monterey, CA, United States
Duration: 5 May 20088 May 2008

Publication series

NameRecord - IEEE PLANS, Position Location and Navigation Symposium

Conference

Conference2008 IEEE/ION Position, Location and Navigation Symposium, PLANS
Country/TerritoryUnited States
CityMonterey, CA
Period5/05/088/05/08

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