2009
DOI: 10.1109/jproc.2008.2008854
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UWB Tomographic Radar Imaging of Penetrable and Impenetrable Objects

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Cited by 54 publications
(37 citation statements)
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“…The minimum and maximum number of antennas for the head imaging can be calculated by the degrees of freedom (DOF) theory585960. According to DOF, the imaging domain’s perimeter should be sampled at a minimum rate equal to one half of the wavelength in air ( λ min ) to be able to detect the target, Δ φ  =  λ min /2 a , where a is the radius of the perimeter.…”
Section: Discussionmentioning
confidence: 99%
“…The minimum and maximum number of antennas for the head imaging can be calculated by the degrees of freedom (DOF) theory585960. According to DOF, the imaging domain’s perimeter should be sampled at a minimum rate equal to one half of the wavelength in air ( λ min ) to be able to detect the target, Δ φ  =  λ min /2 a , where a is the radius of the perimeter.…”
Section: Discussionmentioning
confidence: 99%
“…Further, ultrawideband (UWB) noise radar has achieved high-resolution detection and imaging in foliage penetration (FOPEN) imaging [10,11], through-wall imaging (TWI) [12][13][14], and ground penetration radar (GPR) imaging [15,16] by employing an ultrawide bandwidth. For obtaining high-resolution images of various shaped targets, tomographic radar imaging is emerging as a powerful imaging technique [17][18][19]. In general, radar imaging techniques tend to be formulated in the time domain to use computationally efficient backprojection algorithms and to provide accurate object shape and location results of the target objects [20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…The signals received are back propagated towards the transmitter, and normally retransmitted in an iterative process until convergence. The back propagation normally uses an finite difference time domain back propagation algorithm although a Green's function has also been suggested [19]. The method works on the principle that successive iterations reflecting at the measurement surfaces converge to a model of the strongest internal reflectors.…”
Section: Introductionmentioning
confidence: 99%