A Machine Learning-Based Approach for Auto-Detection and Localization of Targets in Underwater Acoustic Array Networks
Artikel i vetenskaplig tidskrift, 2020
localization
sensor array
Probes
Target tracking
Estimation
Underwater
machine learning
Fourier transforms
Sonar
Complexity theory
fractional fourier transform
Underwater acoustics
Författare
Zijun Gong
Memorial University of Newfoundland
Cheng Li
Memorial University of Newfoundland
Fan Jiang
Chalmers, Elektroteknik, Kommunikation, Antenner och Optiska Nätverk
IEEE Transactions on Vehicular Technology
0018-9545 (ISSN) 1939-9359 (eISSN)
Vol. 69 12 15857-15866 9250694Ämneskategorier
Bioinformatik (beräkningsbiologi)
Signalbehandling
Medicinsk bildbehandling
DOI
10.1109/TVT.2020.3036350