Paper Info
Title
A Complexity-Based Approach for the Detection of Weak Signals in Ocean Ambient Noise.
Abstract
There are numerous studies showing that there is a constant increase in the ocean ambient noise level and the ever-growing demand for developing algorithms for detecting weak signals in ambient noise. In this study, we utilize dynamical and statistical complexity to detect the presence of weak ship noise embedded in ambient noise. The ambient noise and ship noise were recorded in the South China Sea. The multiscale entropy (MSE) method and the complexity-entropy causality plane (C-H plane) were used to quantify the dynamical and statistical complexity of the measured time series, respectively. We generated signals with varying signal-to-noise ratio (SNR) by varying the amplification of a ship signal. The simulation results indicate that the complexity is sensitive to change in the information in the ambient noise and the change in SNR, a finding that enables the detection of weak ship signals in strong background ambient noise. The simulation results also illustrate that complexity is better than the traditional spectrogram method, particularly effective for detecting low SNR signals in ambient noise. In addition, complexity-based MSE and C-H plane methods are simple, robust and do not assume any underlying dynamics in time series. Hence, complexity should be used in practical situations.
Year
DOI
Venue
2016
10.3390/e18030101
ENTROPY
Keywords
Field
DocType
ambient noise,ship signal,Entropy,complexity,weak signal detection,stochastic dynamics
Value noise,Noise floor,Noise (signal processing),Noise measurement,Ambient noise level,Acoustics,Noise (radio),Gaussian noise,Mathematics,Gradient noise
Journal
Volume
Issue
Citations 
18
3
5
PageRank 
References 
Authors
0.63
4
7
Name
Order
Citations
PageRank
Shashidhar Siddagangaiah150.63
Yaan Li2358.44
Xijing Guo3544.98
Xiao Chen491.98
QunFei Zhang5199.00
Kunde Yang6418.16
Yixin Yang73311.80