Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics

Real-time Signal Processing for Shipborne FOG Based on Lifting Wavelet Analysis

Authors
Bin Yi, Qiliang Bao
Corresponding Author
Bin Yi
Available Online August 2016.
DOI
10.2991/emcpe-16.2016.47How to use a DOI?
Keywords
Lifting wavelet, shipborne FOG, real-time signal processing.
Abstract

In the visual axis stabilization system under the background of the shipboard, it is necessary to use the high-frequency and low-frequency of the FOG output signal, respectively. For the practical application, this paper proposes a method which contains de-noising and signal separation. This paper analysis the characteristics of the FOG output signal under shipboard conditions, and then based on lifting wavelet transform, select the appropriate wavelet basis, appropriate sliding window size and decomposition scale. Use MATLAB software simulation, the results show that the algorithm can meet realization of real-time premise de-noising and signal separation.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics
Series
Advances in Engineering Research
Publication Date
August 2016
ISBN
978-94-6252-197-1
ISSN
2352-5401
DOI
10.2991/emcpe-16.2016.47How to use a DOI?
Copyright
© 2016, 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  - Bin Yi
AU  - Qiliang Bao
PY  - 2016/08
DA  - 2016/08
TI  - Real-time Signal Processing for Shipborne FOG Based on Lifting Wavelet Analysis
BT  - Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics
PB  - Atlantis Press
SP  - 222
EP  - 226
SN  - 2352-5401
UR  - https://doi.org/10.2991/emcpe-16.2016.47
DO  - 10.2991/emcpe-16.2016.47
ID  - Yi2016/08
ER  -