Open AccessSynoris: an Unmanned Underwater Platform Based on Hydrophone Arrays for Detection and Tracking From Sound Signatures
Author(s) -
Nikolaos Papadakis,
Dimitris Paraschos
Publication year - 2022
Publication title -
international journal of circuits, systems and signal processing
Language(s) - English
Resource type - Journals
ISSN - 1998-4464
DOI - 10.46300/9106.2022.16.96
Subject(s) - underwater , identification (biology) , computer science , tracking (education) , hydrophone , feature extraction , remotely operated underwater vehicle , artificial intelligence , signal processing , sonar , engineering , real time computing , acoustics , computer hardware , mobile robot , digital signal processing , robot , geology , psychology , pedagogy , oceanography , botany , physics , biology
Sonars have been in practical use since the turn of the 20th century. They are considered to be among the most sophisticated engineering systems concerning detection and tracking. Unmanned underwater vehicles have recently evolved to a higher degree of sophistication with enough processing power to run more demanding artificial intelligence (AI) algorithms. This work is focused on the development of a robust signal processing algorithm on board an Autonomous Underwater Vehicle (AUV), named Synoris, enhanced with target identification capabilities. Synoris is able to perform feature extraction, classification and identification using only on board hardware.