Article

Underwater signals' characteristics of power spectrum based on data mining.

Science and Technology on Sonar Laboratory, Hangzhou Applied Acoustic Research Institute Hangzhou 310012, P.R. China, .
The Journal of the Acoustical Society of America (impact factor: 1.55). 04/2012; 131(4):3489. pp.3489
Source: PubMed

ABSTRACT Power spectrum was always utilized for underwater signal recognition. Distance based data mining was applied to feature extraction of power spectrum. The distances within and between classes were first calculated, then, the weight for each frequency bin was get according to its discrimination, finally, the weighted power spectrum was used to feature extraction and classification. All kinds of signals were generated with underwater acoustic propagation model through wave guide. Experiments and tests were conducted and performance of the method was verified.

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Keywords

data mining
 
distances
 
feature extraction
 
Power spectrum
 
signals
 
underwater acoustic propagation model
 
underwater signal recognition
 
weighted power spectrum
 

Qingfu Wang