Distributed Fusion Kalman Self-turning Filter
Authors
Ming-Bo Zhang
Corresponding Author
Ming-Bo Zhang
Available Online April 2013.
- DOI
- 10.2991/icsem.2013.85How to use a DOI?
- Keywords
- Information fusion self-turning filter, Distributed fusion, Model parameters, Noise variance
- Abstract
This paper puts forward an optimal and distributed fusion Kalman filter based on the Riccati equation, optimal and distributed fusion The Kalman filter has fewer calculated dimensions and less calculated amount than the centralized global optimal Kalman filter. Therefore, it has greater effect in the practice. Present the distributed local self-correcting Kalman filter at the same time. The simulation examples showed its validity.
- Copyright
- © 2013, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Ming-Bo Zhang PY - 2013/04 DA - 2013/04 TI - Distributed Fusion Kalman Self-turning Filter BT - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013) PB - Atlantis Press SP - 444 EP - 448 SN - 1951-6851 UR - https://doi.org/10.2991/icsem.2013.85 DO - 10.2991/icsem.2013.85 ID - Zhang2013/04 ER -