Time-reverse imaging for detection of landmines

Alam, M. Shahria; McClellan, J.H.; Norville, Pelham D.; Scott, Waymond R.

doi:10.1117/12.542686

Cited by 10 publications

(1 citation statement)

References 7 publications

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“…In Kirchhoff migration, time-reversal, and diffraction tomography algorithms, for instance, the sensor spacing should not be more than one-half of the minimum wavelength of the signal in the structure, i.e. D s = k min /2 (Schnieider, 1978;Alam et al, 2004;Slaney, 1988 andWeedon et al, 2000).…”

Section: Numerical Resultsmentioning

confidence: 99%

Damage imaging of reinforced concrete structures using electromagnetic migration algorithm

Nojavan

Fang

2006

International Journal of Solids and Structures

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Reconstructing damage geometry with computationally efficient algorithms is of primary importance in establishing a robust structural health monitoring system (SHMS). In this paper electromagnetic migration, a linearized imaging algorithm, is adopted to image the damages in reinforced concrete structures. This algorithm is formulated in time-domain for 3-D inhomogeneous isotropic and lossy structures. In order to reduce the computational cost and to examine the damage resolution of this imaging algorithm, different imaging conditions are introduced. Numerical simulations in 2-D transverse magnetic (TM) wave for a reinforced concrete slab with multiple damages are performed to test the effectiveness of the algorithm. All synthetic sensor data, incident field, and migration field are computed via a finite difference time-domain (FDTD) method. It is concluded that the proposed imaging algorithm is capable of efficiently identifying the damages geometries, is robust against measurement noise, and may be employed in a SHMS.

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Section: Numerical Resultsmentioning

confidence: 99%