Underwater imaging using a hybrid Kirchhoff migration: direction of arrival method and a sparse surface sensor array.
This paper considers the problem of imaging a complex object submerged in shallow waters using a sparse surface sensor array and a hybrid signal processing method. This method is constructed by refining the Kirchhoff migration technique to incorporate a zoning of the sensors and an analysis of multiple reflections, and combining it with the direction of arrival estimation method. Its performance is assessed and analyzed with the shape identification of a mockup submarine by numerical simulation. The obtained numerical results highlight the potential of this approach for identifying underwater intruders.
Dord
Jean-Francois
JF
Department of Mechanical Engineering, Stanford University, Durand Building, Office 028, 496 Lomita Mall, Stanford, California 94305, USA. jfdord@stanfordalumni.org
Farhat
Charbel
C
D000162:Acoustics / Q000295:instrumentation*; D003198:Computer Simulation; D004867:Equipment Design; D008962:Models, Theoretical; D009038:Motion; D009716:Numerical Analysis, Computer-Assisted; D011312:Pressure; D012815:Signal Processing, Computer-Assisted; D013016:Sound; D013018:Sound Spectrography; D013997:Time Factors; D014159:Transducers; D014867:Water
D014867:Water