Kalman/Particle Filter for Integrated Navigation System

DOI

10.2991/iccia.2012.236How to use a DOI?

Keywords

integrated navigation system, particle filter, kalman/particle filter

Abstract

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.

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/).

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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  -