Passive localization of surface vessels in shallow water using broadband, unintentionally radiated noise

2012 ◽  
Vol 132 (3) ◽  
pp. 2054-2054
Author(s):  
Alexander W. Sell ◽  
R. Lee Culver
Keyword(s):  
Shallow Water ◽  
Radiated Noise ◽  
Surface Vessels ◽  
Passive Localization

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.

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