Theoretical and experimental study of through-wall microwave tomography inverse problems

Lavely, Eugene M.; Zhang, Yan; Hill, Edward H.; Lai, Yisan; Weichman, Peter B.; Chapman, Angela

doi:10.1016/j.jfranklin.2008.01.006

Cited by 18 publications

(12 citation statements)

References 13 publications

(15 reference statements)

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“…The smaller the local surface radius of curvature r (which become two independent radii, r 1 , r 2 in 3D) at the launch point, the greater the local spreading of the rays. of the electromagnetic (EM) spectrum is the 0.7-2 GHz band (15-50 cm wavelengths) [2], [3].…”

Section: Ray Tracing and Ray Interactionsmentioning

confidence: 99%

Physics-based EM models in support of through-wall microwave imaging

Weichman

2011

2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

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This paper reviews some recent physics-based modeling approaches in support of microwave through-wall building tomography. Building layout estimation is a nonlinear inverse problem with a large number of degrees of freedom (geometry, location, and scattering properties of major building elements, such as walls, floors, and ceilings, plus many other smaller elements such as windows, doorways, and stairways). The physics of microwave propagation will be described, involving multiple reflection, transmission, and diffraction events, which must be accounted for in the creation of a high fidelity, numerically efficient forward model. Through sensitivity tests and, ultimately, comparison with experimental data, these models allow one to quantify some of the fundamental limits that the signal complexity places on building interior estimation.

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Section: Ray Tracing and Ray Interactionsmentioning

confidence: 99%

Physics-based EM models in support of through-wall microwave imaging

Weichman

2011

2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)

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“…The layout is updated based on the difference between the predicted measurement vector and the actual measurement vector. These algorithms use finite elements' methods together with, for instance simulated annealing [5] or the jumped diffusion algorithm [6] for updating the building layout. However, iterative electromagnetic simulations are typically computationally intensive and may not be suitable for real-time operation.…”

Section: Introductionmentioning

confidence: 99%

Extraction of Building Features from Stand-Off Measured Through-Wall Radar Data

Wit¹,

Rossum²

2016

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Automated extraction of building features is a great aid in synthesizing building maps from radar data. In this paper, a model-based method is described to detect and classify canonical scatters, such as corners and planar walls, inside a building. Once corners and walls have been located, a building map can be synthesized. To detect and classify the canonical scatterers, sparse reconstruction with an overcomplete dictionary is used. The dictionary is tuned to phase models that are specific to the different canonical scatterers, i.e., a linear phase change for walls and a quadratic phase change for corners. This is a potentially robust method for detecting canonical scatterers because the polynomial degree of the measured phase is preserved, even after propagation through a wall. Building-feature extraction results obtained with actually stand-off measured through-wall radar data are discussed.Index Terms-Overcomplete dictionary (OCD), radar imaging, sparse reconstruction, through-wall radar.

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“…This is attributed to the fact that targets radar cross-section (RCS) is much weaker than front wall EM backscatterings. Therefore, stationary targets cannot be generally detected without an effective removal of front wall clutter [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Through-the-wall radar imaging for heterogeneous walls using compressive sensing

Lagunas

Amin

Ahmad

2015

2015 3rd International Workshop on Compressed Sensing Theory and Its Applications to Radar, Sonar and Remote Sensing (CoSeRa)

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Abstract-Front wall reflections are considered one of the main challenges in sensing through walls using radar. This is especially true under sparse time-space or frequency-space sampling of radar returns which may be required for fast and efficient data acquisition. Unlike homogeneous walls, heterogeneous walls have frequency and space varying characteristics which violate the smooth surface assumption and cause significant residuals under commonly used wall clutter mitigation techniques. In the proposed approach, the phase shift and the amplitude of the wall reflections are estimated from the compressive measurements using a Maximum Likelihood Estimation (MLE) procedure. The estimated parameters are used to model electromagnetic (EM) wall returns, which are subsequently subtracted from the total radar returns, rendering wall-reduced and wall-free signals. Simulation results are provided, demonstrating the effectiveness of the proposed technique and showing its superiority over existing methods.

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Theoretical and experimental study of through-wall microwave tomography inverse problems

Cited by 18 publications

References 13 publications

Physics-based EM models in support of through-wall microwave imaging

Physics-based EM models in support of through-wall microwave imaging

Extraction of Building Features from Stand-Off Measured Through-Wall Radar Data

Through-the-wall radar imaging for heterogeneous walls using compressive sensing

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