Microwave imaging with crossed linear arrays

Gironés, J.M.; Jofre, L.; Ferrando, M.; Reyes, E.; Bolomey, Jean-Charles

doi:10.1049/ip-h-2.1987.0046

Cited by 6 publications

(2 citation statements)

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“…Following the electromagnetic compensation principle, the illumination of an object induces an equivalent electric current distribution, , and this distribution makes an electromagnetic image of the object in image reconstruction [5], [6]. The reconstruction algorithm forms every image point by means of the synthesis of two focused arrays (transmitting and receiving arrays), i.e., all the elements of both arrays are weighted by focusing operator so as to be focused on a unique object point.…”

Section: A Analytical Formulationmentioning

confidence: 99%

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Microwave reflection tomographic array for damage detection of civil structures

Kim

Jofre²,

Flaviis³

et al. 2003

IEEE Trans. Antennas Propagat.

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Abstract-Microwave tomographic imaging technology using a bifocusing operator has been developed in order to detect the internal voids/objects inside concrete structures. The imaging system consists of several cylindrical or planar array antennas for transmitting and receiving signals, and a numerical focusing operator is applied to the external signals both in transmitting and in receiving fields. An imaging algorithm using numerical focusing operator was developed, which allows the recovery of a two-dimensional object from its scattered field. Numerical simulation demonstrated that a subsurface image can be successfully reconstructed by using the proposed tomographic imaging technology. For the experimental verification, a prototype planar antenna array was fabricated and tested on a concrete specimen.

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Section: A Analytical Formulationmentioning

confidence: 99%

“…When focusing back the received field at on the point of interest , the electromagnetic image of at can be expressed as (4) where , the focusing operator, is given by (5) Finally, the entire process can be grouped as follows:…”

Section: A Analytical Formulationmentioning

confidence: 99%