A calibration procedure for ground-based RF tomography

Monte, Lorenzo Lo; Parker, Jason T.; Vela, Russell; Baker, C.J.

doi:10.1109/radar.2012.6212217

Cited by 6 publications

(11 citation statements)

References 33 publications

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“…. Equation (39) shows that the measurement at the ith receiver can be expressed as a superposition of the scaled and delayed version of the measurement at the jth receiver over all possible paths including the direct and multi-bounce paths. The scale factor is given by γ i j,β y 0 ,υ 0 and the delay is given by…”

Section: Passive Measurement Model For a Moving Point Targetmentioning

confidence: 99%

“…In this subsection, we combine the results derived in the previous subsection with the passive measurement model derived for the multiple-scattering environment based on the first-order specular reflections introduced in section 3. Plugging (39) into (48), each component of the optimal template becomes…”

Section: Image Formation Using the First-order Specular Reflection Momentioning

confidence: 99%

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Passive imaging of moving targets exploiting multiple scattering using sparse distributed apertures

Yazıcı

2012

Inverse Problems

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We present a new passive imaging method for moving targets using a sparse array of receivers and illumination sources of opportunity operating in multiplescattering environments. We assume that the receivers are spatially distributed in an arbitrary fashion and the illumination sources of opportunity are noncooperative where the locations of the transmitters and transmitted waveforms are unknown. Our method is capable of exploiting the multiple scattering in the environment. We use a physics-based and statistical approach to develop a model under Born approximation that relates the measurements at a given receiver to measurements at other receivers in terms of a hypothetical target in position and velocity spaces, the Green function of the background environment, as well as the statistics of the target, clutter and noise. Next, we use this model to formulate the imaging problem as a test of binary hypotheses for unknown target position and velocity, and address it by maximizing the signal-to-noise ratio of the test statistic. We use the resulting test statistic to form an image in position and velocity spaces. We illustrate our imaging method and analyze its resolution using a first-order specular reflection-based model of the Green function suitable for urban environments throughout the paper. We present numerical experiments to verify our theory and to demonstrate the performance of our method using practical waveforms of opportunity. While our primary interest is in radar imaging, our method can also be applied to passive acoustic and geophysical imaging.

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Section: Passive Measurement Model For a Moving Point Targetmentioning

confidence: 99%

Section: Image Formation Using the First-order Specular Reflection Momentioning

confidence: 99%

Passive imaging of moving targets exploiting multiple scattering using sparse distributed apertures

Yazıcı

2012

Inverse Problems

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“…In the RFT basic operation mode, TX radiates a polarised electromagnetic (EM) waves into the measurement domain, the scattered EM waves from different dielectric material, i.e. the permittivity

false(ϵ false)

, the permeability

false(μ false)

or the conductivity

false(σ false)

, of the buried objects, structures and ground layers, are collected by RX above the ground and processed to reconstruct 2D or 3D high‐resolution images of shallow objects in the scene [1–11].…”

Section: Introductionmentioning

confidence: 99%

“…Over the years, deriving the complete forward model for RFT‐based GPR has been introduced [9–18]. However, the authors do not consider the case weak scatterers surrounding by strong scatterers in the same measurement domain.…”

Section: Introductionmentioning

confidence: 99%

Optimal linear filtering for weak target detection based on dyadic contrast function analysis in RFT

Akroush

Wicks

2020

IET Radar, Sonar & Navigation

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“…The forward model formulation of RF tomography is based on a classical volume integral equation approach [7,8] and uses the Born approximation. Although it had been originally developed for the application of underground imaging, operating at high frequency (3 MHz-30 MHz) or below, RF tomography can be applied to detect the aboveground and below-ground targets [9], and its frequency of operation can be shifted into the microwave domain [10].…”

Section: Introductionmentioning

confidence: 99%

RF Tomography in Free Space: Experimental Validation of the Forward Model and an Inversion Algorithm Based on the Algebraic Reconstruction Technique

Picco

Negishi

Nishikata

et al. 2013

International Journal of Antennas and Propagation

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Radio-frequency tomography was originally proposed to image underground cavities. Its flexible forward model can be used in free-space by choosing an appropriate dyadic Green's function and can be translated in the microwave domain. Experimental data are used to validate a novel inversion scheme, based on the algebraic reconstruction technique. The proposed method is improved by introducing physical bounds on the solution returned. As a result, the images of the dielectric permittivity profiles obtained are superior in quality to the ones obtained using classical regularization approaches such as the truncated singular value decomposition. The results from three experimental case studies are presented and discussed.

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A calibration procedure for ground-based RF tomography

Cited by 6 publications

References 33 publications

Passive imaging of moving targets exploiting multiple scattering using sparse distributed apertures

Passive imaging of moving targets exploiting multiple scattering using sparse distributed apertures

Optimal linear filtering for weak target detection based on dyadic contrast function analysis in RFT

RF Tomography in Free Space: Experimental Validation of the Forward Model and an Inversion Algorithm Based on the Algebraic Reconstruction Technique

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