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| Main Authors: | , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.00513 |
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| _version_ | 1866917908637024256 |
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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 |