DocumentCode
3497575
Title
Imaging buried objects in layered media using MUSIC algorithm
Author
Sarafian, Elad ; Shlivinski, Amir
Author_Institution
Dept. of Electr., Ben-Gurion Univ., Beer-Sheva, Israel
fYear
2010
fDate
17-20 Nov. 2010
Abstract
An algorithm for imaging of buried objects in layered media, without explicit use of the Green function, is presented. The algorithm uses a measured data matrix of the medium response (i.e. scattered field) due to wide-beam acoustic point sources excitation as an input. In order to circumvent the explicit need of the medium Green function, the original data matrix is reformulated in terms of propagation and scattering of plane-waves. In layered media, plane-waves propagation can simply be traced by the corresponding transmission line model. It is shown that this reformulation enables the use of a modified multiple signal classification (MUSIC) algorithm in order to image buried objects. The proposed algorithm is tested in simulations where it exhibits the scatterers location and strength.
Keywords
Green´s function methods; acoustic imaging; acoustic signal processing; buried object detection; image classification; inhomogeneous media; Green function; MUSIC algorithm; buried object imaging; data matrix; layered media; modified multiple signal classification algorithm; scattered field; wide beam acoustic point sources excitation; Arrays; Imaging; Multiple signal classification; Nonhomogeneous media; Pulse width modulation; Scattering; Transmission line matrix methods;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical and Electronics Engineers in Israel (IEEEI), 2010 IEEE 26th Convention of
Conference_Location
Eliat
Print_ISBN
978-1-4244-8681-6
Type
conf
DOI
10.1109/EEEI.2010.5662201
Filename
5662201
Link To Document