Abstract
The detection of water entry sound can be used as an early warning indicator for underwater vehicle. The present work is dedicated to investigate the amplitude distribution characteristics of the water entry sound. Understanding the time series amplitude distribution of the water entry sound can facilitate water entry sound detection method based on the probability distribution function (PDF) change. To shed light into needed model of amplitude distribution, this paper focusses on α stable distribution model, which is appropriate for leptokurtic data. The PDFs of numerical simulation and experimental measurement data of water entry sound are modeled with α stable distribution and normal models, respectively. The results demonstrate that: (i) The water entry sound shows noteworthy non-Gaussian characteristics. (ii) The α stable distribution model has higher goodness of fit than the normal distribution model for water entry noise. (iii) The characteristic exponent α is of great significance for describing the PDF of water entry sound, which allows deriving effective guidelines for the detection of water entry sound.
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