Measurement of Interference Structures of Ship-Radiated Noise in Shallow Water with Rock and Sand Bottom

2011 ◽  
Vol 50 (7S) ◽  
pp. 07HG03
Author(s):  
Jooyoung Hahn
Keyword(s):  
Shallow Water ◽  
Radiated Noise ◽  
Sand Bottom

Signatures Extraction of Ship Radiated Noise Based on Passive Sonar

2014 ◽  
Vol 568-570 ◽  
pp. 233-237 ◽  
Author(s):  
Hong Ji Wang ◽  
Ri Jie Yang ◽  
Jian Hui Han
Keyword(s):  
Feature Extraction ◽  
Shallow Water ◽  
Kalman Filtering ◽  
Estimation Method ◽  
Likelihood Estimation ◽  
Real Data ◽  
Underwater Noise ◽  
Data Set ◽  
Radiated Noise ◽  
Extraction Algorithm

By combining likelihood estimation method and Kalman filtering tracking approach, feature extraction algorithm was developed in this paper to extract the harmonic feature from the underwater noise radiated by different kinds of ships. The ability of harmonic features extrication algorithm is demonstrated by simulation and real shallow water data set comprised of a number of ships. The processing results of real data set also show that he harmonics of different kinds of ships can be used to separate from each other.

scholarly journals Propagation loss analysis using ship radiated noise in shallow water

2020 ◽  
Author(s):  
Yezhen Pang ◽  
Jin Liu ◽  
Mengsa Yu ◽  
Wenwei Wu
Keyword(s):  
Shallow Water ◽  
Propagation Loss ◽  
Radiated Noise ◽  
Loss Analysis
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