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Study on Hidden Period Estimation in Propeller Noise by Applying Compressed Sensing to Auto-Correlation and Filter-Bank Structure
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 Title & Authors
Study on Hidden Period Estimation in Propeller Noise by Applying Compressed Sensing to Auto-Correlation and Filter-Bank Structure
Lim, Jun-Seok; Pyeon, Yong-Guk; Hong, Woo-Young;
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 Abstract
Narrow band signal estimation and broad band signal estimation can be used to detect the ship-radiated noise. The broad band signal estimation method to detect the ship-radiated noise is called DEMON (Detection of Envelop Modulation On Noise). This paper proposes a new DEMON algorithm applying compressed sensing algorithm to filter bank and autocorrelation. We show the proposed algorithm estimates the hidden period in the wide band signal better than the conventional DEMON algorithm and the recently proposed filter-bank based DEMON algorithm. Especially we show that the proposed algorithm needs shorter data length than the conventional DEMON algorithm.
 Keywords
Sonar Signal Processing;DEMON;Filter Bank;
 Language
Korean
 Cited by
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