Platform Angle Signal Blind Source Separation Algorithm Based on Wavelet –EEMD Method

DOI

10.2991/isci-15.2015.56How to use a DOI?

Keywords

Platform inertial navigation system; Wavelet decomposition; Ensemble experience mode decomposition(EEMD)

Abstract

To solve the problem that self-alignment accuracy of platform inertial navigation system will be affected a lot under significant interference, an adaptive blind source separation algorithm based on wavelet – EEMD method is proposed. This method use wavelet decomposition to remove the high frequency signal, and then the EEMD can be used to decompose the target signal. While using wavelet decomposition, an algorithm that using volatility to determine the decomposition layers is proposed, and this method increased the adaptability of wavelet decomposition algorithm. Finally, experiment data validation and some compare are carried on to confirm the proposed method, and the results show that the method has a great advantage, and it can extract the target signals from the disturbed data under significantly interference and greatly improve the alignment accuracy of platform inertial navigation system.

Copyright

© 2015, 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/).

Download article (PDF)

TY  - CONF
AU  - Yuegang Wang
AU  - Wuxing Huang
AU  - Zhibin Guo
AU  - Qiangqiang Ren
AU  - Le Wang
PY  - 2015/01
DA  - 2015/01
TI  - Platform Angle Signal Blind Source Separation Algorithm Based on Wavelet –EEMD Method
BT  - Proceedings of the 2015 International Symposium on Computers & Informatics
PB  - Atlantis Press
SP  - 413
EP  - 420
SN  - 2352-538X
UR  - https://doi.org/10.2991/isci-15.2015.56
DO  - 10.2991/isci-15.2015.56
ID  - Wang2015/01
ER  -