4.7 Article

Magnetoresistive Sensor Error Compensation Method Using Geometry-Constraint Contour Scaling

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIM.2021.3134747

Keywords

Magnetoresistance; Ellipsoids; Calibration; Error compensation; Benchmark testing; Magnetoresistive devices; Magnetic field measurement; Contour scaling; ellipsoid; geometry constraint; highly dynamic environment; magnetoresistive sensor

Funding

  1. Key Advance Research Projects of Equipment Development of China [41417100101]

Ask authors/readers for more resources

This article proposes a magnetoresistive sensor error compensation method using geometry-constraint contour scaling, which improves compensation accuracy by calculating the shortest distance and scaling the contour.
The magnetoresistive sensor strapped to the projectile is easily disturbed in highly dynamic environments, which has the problem of low accuracy for sensitive geomagnetic signals. In this article, a magnetoresistive sensor error compensation method using geometry-constraint contour scaling is proposed. A benchmark ellipsoid is obtained based on a two-step method. The shortest distance between any measured single point and the benchmark ellipsoid is calculated, and its position distribution relative to the benchmark ellipsoid is determined. The general form of the benchmark ellipsoid is converted into the standard form. The contour is scaled according to the shortest distance, and the single-point ellipsoid is obtained. The calibration parameters are extracted so that the single-point error compensation can compete. Simulation and experiment results show that the compensation accuracy of the proposed method is improved by two orders of magnitude compared with the traditional method.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available