A Multi Sub-band Sliding Detection Algorithm of Ship Shaft-Rate Electric Field Signal
Rui Cheng, Runxiang Jiang, Shenguang Gong
Available Online January 2016.
- https://doi.org/10.2991/ifeea-15.2016.34How to use a DOI?
- signal detection, empirical mode decomposition, shaft-rate electric field
- 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.
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 -