scholarly journals A Factor-Graph Clustering Approach for Detection of Underwater Acoustic Signals

2019 ◽  
Vol 16 (5) ◽  
pp. 702-706 ◽  
Author(s):  
Dror Kipnis ◽  
Roee Diamant
Keyword(s):  
Graph Clustering ◽  
Acoustic Signals ◽  
Factor Graph ◽  
Underwater Acoustic ◽  
Clustering Approach

scholarly journals Locating Ships Using Time Reversal and Matrix Pencil Method by Their Underwater Acoustic Signals

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5065
Author(s):  
Daniel Chaparro-Arce ◽  
Sergio Gutierrez ◽  
Andres Gallego ◽  
Cesar Pedraza ◽  
Felix Vega ◽  
...  
Keyword(s):  
Time Reversal ◽  
Communication Channel ◽  
Matrix Pencil ◽  
Acoustic Signals ◽  
Underwater Acoustic ◽  
Low Bit Rate ◽  
Matrix Pencil Method ◽  
The Matrix ◽  
Resonance Expansion ◽  
Passive Sensors

This paper presents a technique, based on the matrix pencil method (MPM), for the compression of underwater acoustic signals produced by boat engines. The compressed signal, represented by its complex resonance expansion, is intended to be sent over a low-bit-rate wireless communication channel. We demonstrate that the method can provide data compression greater than 60%, ensuring a correlation greater than 93% between the reconstructed and the original signal, at a sampling frequency of 2.2 kHz. Once the signal was reconstituted, a localization process was carried out with the time reversal method (TR) using information from four different sensors in a simulation environment. This process sought to achieve the identification of the position of the ship using only passive sensors, considering two different sensor arrangements.

scholarly journals Underwater acoustic signals induced by intense ultrashort laser pulse

2015 ◽  
Vol 137 (4) ◽  
pp. EL288-EL292 ◽  
Author(s):  
Yohann Brelet ◽  
Amélie Jarnac ◽  
Jérôme Carbonnel ◽  
Yves-Bernard André ◽  
André Mysyrowicz ◽  
...  
Keyword(s):  
Laser Pulse ◽  
Ultrashort Laser Pulse ◽  
Acoustic Signals ◽  
Underwater Acoustic ◽  
Ultrashort Laser

Line Spectrum Enhancement of Underwater Acoustic Signals Using Kalman Filter

2020 ◽  
Vol 19 (1) ◽  
pp. 148-154
Author(s):  
Jiao Zhang ◽  
Yaan Li ◽  
Wasiq Ali ◽  
Lian Liu
Keyword(s):  
Kalman Filter ◽  
Acoustic Signals ◽  
Line Spectrum ◽  
Underwater Acoustic

scholarly journals A Sensing and Tracking Algorithm for Multiple Frequency Line Components in Underwater Acoustic Signals

Sensors ◽  
2019 ◽  
Vol 19 (22) ◽  
pp. 4866 ◽  
Author(s):  
Xinwei Luo ◽  
Zihan Shen
Keyword(s):  
Signal To Noise Ratio ◽  
Acoustic Signals ◽  
Multiple Time ◽  
Time Varying ◽  
Multiple Frequency ◽  
Underwater Acoustic ◽  
Model Method ◽  
Detection And Tracking ◽  
Time Varying Frequency ◽  
Line Tracking

Reliable and efficient sensing and tracking of multiple weak or time-varying frequency line components in underwater acoustic signals is the topic of this paper. We propose a method for automatic detection and tracking of multiple frequency lines in lofargram based on hidden Markov model (HMM). Instead of being directly subjected to frequency line tracking, the whole lofargram is first segmented into several sub-lofargrams. Then, the sub-lofargrams suspected to contain frequency lines are screened. In these sub-lofargrams, the HMM-based method is used for detection of multiple frequency lines. Using image stitching and statistical model method, the frequency lines with overlapping parts detected by different sub-lofargrams are merged to obtain the final detection results. The method can effectively detect multiple time-varying frequency lines of underwater acoustic signals while ensuring the performance under the condition of low signal-to-noise ratio (SNR). It can be concluded that the proposed algorithm can provide better multiple frequency lines sensing ability while greatly reducing the amount of calculations and providing potential techniques for feature sensing and tracking processing of unattended equipment such as sonar buoys and submerged buoys.

scholarly journals Metabolomic correlation-network modules in Arabidopsis based on a graph-clustering approach

2011 ◽  
Vol 5 (1) ◽  
pp. 1 ◽  
Author(s):  
Atsushi Fukushima ◽  
Miyako Kusano ◽  
Henning Redestig ◽  
Masanori Arita ◽  
Kazuki Saito
Keyword(s):  
Graph Clustering ◽  
Correlation Network ◽  
Network Modules ◽  
Clustering Approach
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