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

DOI

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.

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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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  - Proceedings of the 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  - 10.2991/ifeea-15.2016.34
ID  - Cheng2016/01
ER  -