Detection and imaging in a random medium: A matrix method to overcome multiple scattering and aberration

被引:75
作者
Aubry, Alexandre [1 ]
Derode, Arnaud [1 ]
机构
[1] Univ Paris 07, CNRS, UMR 7587, ESPCI ParisTech,Inst Langevin,Lab Ondes & Acoust, F-75231 Paris 05, France
关键词
TIME-REVERSAL OPERATOR; ANGULAR-CORRELATION FUNCTION; OPTICAL COHERENCE TOMOGRAPHY; CROSS-CORRELATION TECHNIQUES; LIGHT-SCATTERING; BURIED OBJECT; DORT METHOD; DECOMPOSITION; SUPPRESSION; CLUTTER;
D O I
10.1063/1.3200962
中图分类号
O59 [应用物理学];
学科分类号
摘要
We present an imaging technique particularly suited to the detection of a target embedded in a strongly scattering medium. Classical imaging techniques based on the Born approximation fail in this kind of configuration because of multiply scattered echoes and aberration distortions. The experimental setup we consider uses an array of programmable transmitters/receivers. A target is placed behind a scattering medium. The impulse responses between all array elements are measured and form a matrix. The core of the method is to separate the single scattered echo of the target from the multiple scattering background. This is possible because of a deterministic coherence along the antidiagonals of the array response matrix, which is typical of single scattering. Once this operation is performed, target detection is achieved by applying the DORT method (French acronym for decomposition of the time reversal operator). Experimental results are presented in the case of wide-band ultrasonic waves around 3 MHz. A 125-element array is placed in front of a collection of randomly distributed steel rods (diameter of 0.8 mm). The slab thickness is three times the scattering mean free path. The target is a larger steel cylinder (diameter of 15 mm) that we try to detect and localize. The quality of detection is assessed theoretically based on random matrix theory and is shown to be significantly better than what is obtained with classical imaging methods. Aside from multiple scattering, the technique is also shown to reduce the aberrations induced by a heterogeneous layer. (C) 2009 American Institute of Physics. [DOI: 10.1063/1.3200962]
引用
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页数:19
相关论文
共 48 条
[1]  
Angelsen B.A.J., 2000, Ultrasound Imaging Waves, Signals, and Signal Processing
[2]  
AUBRY A, ARXIV09040161
[3]   Random Matrix Theory Applied to Acoustic Backscattering and Imaging In Complex Media [J].
Aubry, Alexandre ;
Derode, Arnaud .
PHYSICAL REVIEW LETTERS, 2009, 102 (08)
[4]   Time-reversal-based detection in random media [J].
Bal, G ;
Pinaud, O .
INVERSE PROBLEMS, 2005, 21 (05) :1593-1619
[5]   Experimental validation of a transport-based imaging method in highly scattering environments [J].
Bal, Guillaume ;
Carin, Lawrence ;
Liu, Dehong ;
Ren, Kui .
INVERSE PROBLEMS, 2007, 23 (06) :2527-2539
[6]   Interferometric array imaging in clutter [J].
Borcea, L ;
Papanicolaou, G ;
Tsogka, C .
INVERSE PROBLEMS, 2005, 21 (04) :1419-1460
[7]   Adaptive interferometric imaging in clutter and optimal illumination [J].
Borcea, Liliana ;
Papanicolaou, George ;
Tsogka, Chrysoula .
INVERSE PROBLEMS, 2006, 22 (04) :1405-1436
[8]  
BORDIER JM, 1991, P IEEE ULTR S, V2, P803
[9]   Spectral measure of large random Hankel, Markov and Toeplitz matrices [J].
Bryc, W ;
Dembo, A ;
Jiang, TF .
ANNALS OF PROBABILITY, 2006, 34 (01) :1-38
[10]   Experimental studies on circular SAR imaging in clutter using angular correlation function technique [J].
Chan, TK ;
Kuga, Y ;
Ishimaru, A .
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1999, 37 (05) :2192-2197