Title :
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
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;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129876
