Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 홍제형 | - |
dc.date.accessioned | 2022-10-20T02:13:25Z | - |
dc.date.available | 2022-10-20T02:13:25Z | - |
dc.date.issued | 2021-01 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, v. 70, article no. 1002612, Page. 1-12 | en_US |
dc.identifier.issn | 0018-9456; 1557-9662 | en_US |
dc.identifier.uri | https://ieeexplore.ieee.org/document/9246556 | en_US |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/175601 | - |
dc.description.abstract | Self-calibration of a magnetometer usually requires controlled magnetic environment as the calibration output can be affected by field distortions from nearby magnetic objects. In this article, we develop a two-stage method that can accurately self-calibrate magnetometer from measurements containing anomalous readings due to local magnetic disturbances. The method proceeds by robustly fitting an ellipsoid to measurement data via L-1-norm convex optimization, yielding initial model variables that are less prone to magnetic disruptions. These are then served as a starting point for robust nonlinear least-squares optimization, which refines the magnetometer model to minimize sensor estimation errors while suppressing heavy anomalies. Synthetic and real experimental results are provided to demonstrate improved accuracy of the proposed method in the presence of outliers. We additionally show empirically that the method is directly applicable to self-calibration of three-axis accelerometers. | en_US |
dc.description.sponsorship | This work was supported in part by the Korea Institute of Science and Technology (KIST) Institutional Program under Project 2E30270 and in part by the Energy Technology Development Business Program of the KETEP under Grant 20181110100420. | en_US |
dc.language.iso | en | en_US |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | en_US |
dc.subject | Accelerometer; calibration; magnetometer; nonlinear least squares; robust optimization | en_US |
dc.title | Robust Autocalibration of Triaxial Magnetometers | en_US |
dc.type | Article | en_US |
dc.relation.volume | 70 | - |
dc.identifier.doi | 10.1109/TIM.2020.3035184 | en_US |
dc.relation.page | 1-12 | - |
dc.relation.journal | IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT | - |
dc.contributor.googleauthor | Hong, Je Hyeong | - |
dc.contributor.googleauthor | Kang, Donghoon | - |
dc.contributor.googleauthor | Kim, Ig-Jae | - |
dc.relation.code | 2021004898 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF ENGINEERING[S] | - |
dc.sector.department | SCHOOL OF ELECTRONIC ENGINEERING | - |
dc.identifier.pid | jhh37 | - |
dc.identifier.researcherID | AAY-2976-2021 | - |
dc.identifier.orcid | https://orcid.org/0000-0003-2797-553X | - |
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