A Unified Method for Robust Self-Calibration of 3-D Field Sensor Arrays
نویسندگان
چکیده
Self-calibrating an array of 3-D field sensors, such as three-axis magnetometers and accelerometers, requires estimation two variable sets—each sensor’s intrinsic model that maps its input to the corresponding measurement each coordinates relative a common frame reference within array. In this work, we propose first unified self-calibration method for arrays same-type which is robust anomalous sensor measurements unlike previous algorithms. The breaks down calibration task into three steps more easily subproblems, estimating variables independently, second computing with respect frame, last refining both these intrinsics orientations jointly minimize physically meaningful errors. Each stage has been carefully designed maintain robustness anomalies without compromising quality. performance our compared against other state-of-the-art algorithms on simulation real data from magnetometer accelerometer array, demonstrating significant improvements in accuracy precision estimated versatile real-world environments.
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ژورنال
عنوان ژورنال: IEEE Transactions on Instrumentation and Measurement
سال: 2021
ISSN: ['1557-9662', '0018-9456']
DOI: https://doi.org/10.1109/tim.2021.3072112