Research and Design of MEMS SINS/GPS Integrated Navigation System Based on Adaptive Filter

DOI

10.2991/icsem.2013.106How to use a DOI?

Keywords

MEMS, GPS, integrated navigation, adaptive filter.

Abstract

A MIMU/GPS integrated navigation system principle prototype is designed, and the structure of the system is introduced by different module. To handle the influence of Kalman filter parameters on system filtering performance (Including the system noise variance matrix Q and measurement noise covariance matrix R), adaptive estimation Kalman filter is designed. The test results show that satisfactory performance can be obtained using adaptive estimation techniques for the low-cost MIMU/GPS integrated navigation.

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  - Gaowei Zhang
AU  - Xiaoyu Zhang
AU  - Chunlei Song
AU  - Tingting Wang
PY  - 2013/04
DA  - 2013/04
TI  - Research and Design of MEMS SINS/GPS Integrated Navigation System Based on Adaptive Filter
BT  - Proceedings of the 2nd International Conference On Systems Engineering and Modeling (ICSEM 2013)
PB  - Atlantis Press
SP  - 541
EP  - 545
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.106
DO  - 10.2991/icsem.2013.106
ID  - Zhang2013/04
ER  -