A Unified Method for Robust Self-Calibration of 3-D Field Sensor Arraysopen access
- Authors
- Hong, Je Hyeong; Kang, Donghoon; Kim, Ig-Jae
- Issue Date
- May-2021
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Accelerometer array; calibration; magnetometer array; nonlinear optimization; robust optimization
- Citation
- IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, v.70, pp.1 - 12
- Indexed
- SCIE
SCOPUS
- Journal Title
- IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Volume
- 70
- Start Page
- 1
- End Page
- 12
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/190293
- DOI
- 10.1109/TIM.2021.3072112
- ISSN
- 0018-9456
- Abstract
- Self-calibrating an array of 3-D field sensors, such as three-axis magnetometers and accelerometers, requires estimation of two variable sets-each sensor's intrinsic model that maps its input field to the corresponding measurement and each sensor's coordinates relative to a common frame of reference within the array. In this work, we propose the first unified self-calibration method for arrays of same-type 3-D field sensors, which is robust to anomalous sensor measurements unlike previous algorithms. The method breaks down the array calibration task into three steps of more easily subproblems, first estimating the intrinsic variables of each sensor independently, second computing the sensor coordinates with respect to a common reference frame, and last refining both these intrinsics and orientations jointly to minimize physically meaningful sensor estimation errors. Each stage has been carefully designed to maintain robustness to anomalies without compromising estimation quality. The performance of our method is compared against other state-of-the-art algorithms on both simulation and real data from a magnetometer array and accelerometer array, demonstrating significant improvements in accuracy and precision of the estimated array variables in versatile real-world self-calibration environments.
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Collections - 서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles
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