Tziallas, G. and Adam, M. and Assimakis, N. and Polyzos, A. (2021) Position, Velocity and Acceleration Tracking Using Kalman Filter. In: Theory and Practice of Mathematics and Computer Science Vol. 9. B P International, pp. 30-47. ISBN 978-93-90888-28-3
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Official URL: https://doi.org/10.9734/bpi/tpmcs/v9/2441E
Abstract
Constant acceleration movement in one, two and three dimensions can be modeled using time invariant models. Position, velocity and acceleration tracking is obtained using time invariant Kalman filter and steady state Kalman filter. The derived estimation and prediction are reliable.
| Item Type: | Book Section |
|---|---|
| Subjects: | STM Repository > Computer Science |
| Depositing User: | Managing Editor |
| Date Deposited: | 09 Jan 2024 08:54 |
| Last Modified: | 09 Jan 2024 08:54 |
| URI: | http://classical.goforpromo.com/id/eprint/4421 |
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