Kalman/Particle Filter for Integrated Navigation System
- 10.2991/iccia.2012.236How to use a DOI?
- integrated navigation system, particle filter, kalman/particle filter
Particle filter is introduced. Since the particle filter would bring hard computation, a new Kalman/Particle mixed filter used on SINS/GPS integrated navigation system was proposed. The new method divides the system into two sub-models, one is linear, the other one is nonlinear, and then implement Kalman filter and particle filter separately. The simulation results show that their performance is almost equal, but the computation complexity of the Kalman/particle filter is much lower than traditional particle filter.
- © 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 - Zhun Jiao AU - Rong Zhang PY - 2014/05 DA - 2014/05 TI - Kalman/Particle Filter for Integrated Navigation System BT - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012) PB - Atlantis Press SP - 966 EP - 969 SN - 1951-6851 UR - https://doi.org/10.2991/iccia.2012.236 DO - 10.2991/iccia.2012.236 ID - Jiao2014/05 ER -