PCA-aided calibration of systems comprising multiple unbiased sensors

Fuente: arXiv
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1. Verfasser: Rupniewski, Marek W.
Format: Preprint
Veröffentlicht: 2023
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author Rupniewski, Marek W.
author_facet Rupniewski, Marek W.
contents The calibration of sensors comprising inertial measurement units is crucial for reliable and accurate navigation. Such calibration is usually performed with specialized expensive rotary tables or requires sophisticated signal processing based on iterative minimization of nonlinear functions, which is prone to get stuck at local minima. We propose a novel calibration algorithm based on principal component analysis. The algorithm results in a closed-form formula for the sensor sensitivity axes and scale factors. We illustrate the proposed algorithm with simulation experiments, in which we assess the calibration accuracy in the case of calibration of a system consisting of 12 single-axis gyroscopes.
format Preprint
id arxiv_https___arxiv_org_abs_2305_15568
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle PCA-aided calibration of systems comprising multiple unbiased sensors
Rupniewski, Marek W.
Signal Processing
15A23 15A18
The calibration of sensors comprising inertial measurement units is crucial for reliable and accurate navigation. Such calibration is usually performed with specialized expensive rotary tables or requires sophisticated signal processing based on iterative minimization of nonlinear functions, which is prone to get stuck at local minima. We propose a novel calibration algorithm based on principal component analysis. The algorithm results in a closed-form formula for the sensor sensitivity axes and scale factors. We illustrate the proposed algorithm with simulation experiments, in which we assess the calibration accuracy in the case of calibration of a system consisting of 12 single-axis gyroscopes.
title PCA-aided calibration of systems comprising multiple unbiased sensors
topic Signal Processing
15A23 15A18
url https://arxiv.org/abs/2305.15568