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Bibliographic Details
Main Authors: Yamamoto, Koya, Kelly, Patrick, Majji, Manoranjan, Guzman, Felipe
Format: Preprint
Published: 2025
Subjects:
Online Access:https://arxiv.org/abs/2502.00513
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author Yamamoto, Koya
Kelly, Patrick
Majji, Manoranjan
Guzman, Felipe
author_facet Yamamoto, Koya
Kelly, Patrick
Majji, Manoranjan
Guzman, Felipe
contents In this work a method for using accelerometers for the determination of angular velocity and acceleration is presented. Minimum sensor requirements and insights into how an array of accelerometers can be configured to maximize estimator performance are considered. The framework presented utilizes linear least squares to estimate functions that are quadratic in angular velocity. Simple methods for determining the sign of the spin axis and the linearized covariance approximation are presented and found to perform quite effectively when compared to results obtained by Monte Carlo.
format Preprint
id arxiv_https___arxiv_org_abs_2502_00513
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Covariance Analysis of Attitude and Angular Rate Estimation using Accelerometers
Yamamoto, Koya
Kelly, Patrick
Majji, Manoranjan
Guzman, Felipe
Systems and Control
In this work a method for using accelerometers for the determination of angular velocity and acceleration is presented. Minimum sensor requirements and insights into how an array of accelerometers can be configured to maximize estimator performance are considered. The framework presented utilizes linear least squares to estimate functions that are quadratic in angular velocity. Simple methods for determining the sign of the spin axis and the linearized covariance approximation are presented and found to perform quite effectively when compared to results obtained by Monte Carlo.
title Covariance Analysis of Attitude and Angular Rate Estimation using Accelerometers
topic Systems and Control
url https://arxiv.org/abs/2502.00513