Proceedings of the 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)

A Multi Sub-band Sliding Detection Algorithm of Ship Shaft-Rate Electric Field Signal

Authors
Rui Cheng, Runxiang Jiang, Shenguang Gong
Corresponding Author
Rui Cheng
Available Online January 2016.
DOI
https://doi.org/10.2991/ifeea-15.2016.34How to use a DOI?
Keywords
signal detection, empirical mode decomposition, shaft-rate electric field
Abstract
In order to effectively extracting out weak ship shaft-rate electric field signal immersed in strong ocean background noise, a multi sub-band sliding detection algorithm capitalizing on Empirical Mode Decomposition (EMD) with Fourth-Order Mixed Cumulant (FOMC) Diagonal Slice is proposed. Firstly, EMD method was employed to adaptively decomposition the signal into a set of Intrinsic Mode Functions (IMFs), of which the validities were determined according to correlation coefficient criterion. Subsequently exploiting the property of higher order cumulant that Gaussian colored noise can be suppressed, sliding power spectrum detection of FOMC diagonal slice of the selected IMFs was carried out. Field data processing result illustrates that, proposed algorithm can effectively and reliably detect target signal even under very low Signal to Noise Ratio (SNR), having a promising application prospect.
Open Access
This is an open access article distributed under the CC BY-NC license.

Download article (PDF)

Proceedings
2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)
Part of series
Advances in Engineering Research
Publication Date
January 2016
ISBN
978-94-6252-153-7
ISSN
2352-5401
DOI
https://doi.org/10.2991/ifeea-15.2016.34How 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  - Rui Cheng
AU  - Runxiang Jiang
AU  - Shenguang Gong
PY  - 2016/01
DA  - 2016/01
TI  - A Multi Sub-band Sliding Detection Algorithm of Ship Shaft-Rate Electric Field Signal
BT  - 2015 2nd International Forum on Electrical Engineering and Automation (IFEEA 2015)
PB  - Atlantis Press
SP  - 172
EP  - 175
SN  - 2352-5401
UR  - https://doi.org/10.2991/ifeea-15.2016.34
DO  - https://doi.org/10.2991/ifeea-15.2016.34
ID  - Cheng2016/01
ER  -