2nd International Conference On Systems Engineering and Modeling (ICSEM-13)

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

Authors
Gaowei Zhang, Xiaoyu Zhang, Chunlei Song, Tingting Wang
Corresponding Author
Gaowei Zhang
Available Online April 2013.
DOI
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
Part of series
Advances in Intelligent Systems Research
Publication Date
April 2013
ISBN
978-94-91216-42-8
ISSN
1951-6851
DOI
https://doi.org/10.2991/icsem.2013.106How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 2nd International Conference On Systems Engineering and Modeling (ICSEM-13)
PB  - Atlantis Press
SN  - 1951-6851
UR  - https://doi.org/10.2991/icsem.2013.106
DO  - https://doi.org/10.2991/icsem.2013.106
ID  - Zhang2013/04
ER  -