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

Autor:	Mehmet Ali Cavuslu, Mehmet Oner, Yasar Hakan Basaran, Erkan Helvacılar
Rok vydání:	2015
Předmět:	Background noise Noise Computer science Speech recognition Acoustics Feature extraction Ranging LOFAR Underwater Underwater acoustic communication Constant false alarm rate
Zdroj:	SIU
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c19e98ac1e47fb3e5b1b72179a4e7e13 https://doi.org/10.1109/siu.2015.7129876 Zobrazit plný text záznamu