Acoustic Fingerprint Recognition Using Artificial Neural Networks

Abstract

How to citeComplete issue More information about this article Journal's homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative  Abstract-This paper presents an implementation of Artificial Neural Networks (ANN) for acoustic fingerprints recognition, applied to the identification of marine vessels. In many cases, the vessel recognition process from an audible signal is performed by human operators, which could lead to failures in the identification process. Before entering the ANN classification process, the signal is filtered and its spectral characteristics are extracted. A comparison of the classification process between three types of neural networks is presented.

Locating Ships Using Time Reversal and Matrix Pencil Method by Their Underwater Acoustic Signals

“…We found that many of these works have focused on geometric approaches and intelligent passive sensor arrays configuration to efficiently cover large and neuralgic areas [15,16]. Likewise, localization processes have been developed using pattern recognition methods such as game theory and artificial neural networks [17][18][19]. However, this type of approach requires constant feedback from implementation experiences to provide better results.…”