Hardware implementation of feature extraction from ship´s underwater acoustic signals using LOFAR analysis

Author

Cavuslu, Mehmet Ali ; Oner, Mehmet ; Helvacilar, Erkan ; Basaran, Yasar Hakan

Author_Institution

Koc Bilgi ve Savunma Teknolojileri A.S., Ankara, Turkey

fYear

2015

fDate

16-19 May 2015

Firstpage

97

Lastpage

100

Abstract

This study presents the FPGA implementation of a method for extraction of some features of a ship from its underwater acoustic signatures that are filtered from the environment noise. In this method, LOFAR (Low Frequency Analysis and Ranging) analysis is used to analyze the features in the low frequency bands. Signature frequencies are separated from background noise by using CFAR (Constant False Alarm Rate) based automatic threshold method. The method is implemented on an Artix-7 xc7a100tcsg324-1 FPGA.

Keywords

feature extraction; field programmable gate arrays; ships; underwater acoustic communication; FPGA; LOFAR analysis; constant false alarm rate; feature extraction; low frequency analysis and ranging analysis; underwater acoustic signals; underwater acoustic signatures; Distance measurement; Engines; Feature extraction; Field programmable gate arrays; Firing; Sonar; Underwater acoustics; CA-CFAR; FPGA; LOFAR; underwater acoustics;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing and Communications Applications Conference (SIU), 2015 23th

Conference_Location

Malatya

Type

conf

DOI

10.1109/SIU.2015.7129876

Filename

7129876