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An Optimized Two-Step Magnetic Correction Strategy by Means of a Lagrange Multiplier Estimator with an Ellipsoid
Linlin Xia1, Jingtong Geng2, Hanrui Yang3
1School of Automation Engineering, Northeast Electric Power University, Jilin 132012, China. xiall521@neepu.edu.cn.
A new two-step algorithm corrects magnetic compass errors from hard and soft iron interference. This improves heading angle accuracy for navigation systems lacking other references, achieving less than 1° error.
Area of Science:
- Geophysics
- Navigation Systems
- Signal Processing
Background:
- The geomagnetic field is crucial for passive navigation when other references are unavailable.
- Magnetic compasses are susceptible to errors caused by hard and soft iron interference.
- Accurate heading angle estimation is vital for navigation applications.
Purpose of the Study:
- To propose a novel two-step optimized correction algorithm for magnetic compasses.
- To address and correct model coefficients affected by hard and soft iron.
- To improve the accuracy of direct heading angle estimation in the presence of magnetic interference.
Main Methods:
- A two-step algorithm combining Levenberg-Marquardt (L-M) fitting and Lagrange multiplier estimation.
- Step 1: L-M fitting with ellipsoid constraint for hard magnetic coefficients.
- Step 2: Lagrange multiplier estimation for soft magnetic iron interference.
Main Results:
- The algorithm effectively eliminates coupling effects between hard and soft magnetic fields.
- Numerical simulations using International Geomagnetic Reference Field (IGRF) and laboratory tests were conducted.
- Root Mean Square Error (RMSE) for magnetic flux density reduced from 2.503 μT to 0.125 μT.
- Mean heading angle error estimates were below 1° under multi-magnetic interference.
Conclusions:
- The proposed two-step algorithm demonstrates ideal convergent properties.
- The solution meets accuracy requirements for non-tactical navigation.
- This method enhances the reliability of magnetic compasses in challenging environments.
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