Open AccessStatistical feature of underwater target echo highlight
Author(s) -
Yunfei Chen,
Guijuan Li,
Zhenshan Wang,
Mingwei Zhang,
Bing Jia
Publication year - 2013
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.62.084302
Subject(s) - marine mammals and sonar , sonar , echo (communications protocol) , underwater , acoustics , clutter , computer science , feature (linguistics) , benchmark (surveying) , interference (communication) , underwater acoustics , artificial intelligence , pattern recognition (psychology) , geology , remote sensing , radar , physics , oceanography , telecommunications , linguistics , philosophy , computer network , channel (broadcasting) , geodesy
Clutter caused by reel and ocean animals is the primarily interference for active sonar. How to classify and identify underwater vehicle echo between reel and ocean animal echo is the most confusing problem that affects the performance of active sonar. Characterization and application mode of underwater target omnibearing echo characteristic are studied for the application of active sonar target identification. A method of estimating the acoustic scattering function based on highlight model is presented, through which underwater target acoustic echo characteristics could be well characterized by statistical feature, and the method is more suitable for the application in active sonar classification. Based on the method studied in this paper, statistical feature of echo highlight is extracted from lake acoustic scattering test of scalled benchmark submarine model.