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An optimal innovation based adaptive estimation Kalman filter for accurate positioning in a vehicular ad-hoc network Cover

An optimal innovation based adaptive estimation Kalman filter for accurate positioning in a vehicular ad-hoc network

International Journal of Applied Mathematics and Computer Science
Volume 31 (2021): Issue 1 (March 2021)
By:
Open Access
|Apr 2021
DOI: https://doi.org/10.34768/amcs-2021-0004 | Journal eISSN: 2083-8492 | Journal ISSN: 1641-876X
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Language: English
Page range: 45 - 57
Submitted on: May 30, 2020
Accepted on: Nov 25, 2020
Published on: Apr 3, 2021
Published by: Sciendo
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
Keywords:
Kalman filter,
innovation,
dead reckoning (DR),
global positioning system (GPS),
simulation of urban mobility (SUMO)
Related subjects:
Mathematics,
Applied mathematics

© 2021 S. Sumithra, R. Vadivel, published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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