Ultrawideband (UWB) Radar Imaging of Building Interior: Measurements and Predictions

Le, Calvin; Dogaru, Traian; Nguyen, Lam; Ressler, Marc A.

doi:10.1109/tgrs.2009.2016653

Cited by 121 publications

(50 citation statements)

References 21 publications

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“…This theory is widely adopted in seismology, medical imaging, target recognition, geophysical observation, and several nondestructive testing fields [6][7][8]. Electromagnetic inverse scattering has received much attention in the last 10 years, especially in the fields of target reconstruction and microwave imaging.…”

Section: Introductionmentioning

confidence: 99%

Stomach Tumor Localization Method of a Support Vector Machine Based on Capsule Endoscopy

Gong¹,

Zhang²

2017

PIER B

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Abstract-This study proposes a real-time method to solve the electromagnetic inverse scattering problem. This technique converts this problem into a regression problem using a support vector machine (SVM). The SVM-based solution successfully deals with the nonlinearity and ill-posedness inherent in this problem. Simulation results show the feasibility and effectiveness of the proposed method. The method can effectively locate the tumor target of the stomach regardless of the presence of noise. The positioning effect of the method improves as SNR increases. When the SNR is higher than 50 dB, noise minimally affects the results. Finally, the SVM prediction model is utilized to study the effect of the number of sampling locations on the prediction results. The results show that the more sampling locations, the better the prediction results.

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Section: Introductionmentioning

confidence: 99%

Stomach Tumor Localization Method of a Support Vector Machine Based on Capsule Endoscopy

Gong¹,

Zhang²

2017

PIER B

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“…The ultimate objective of achieving actionable intelligence in an efficient and reliable manner is faced with a host of challenges underlying the urban sensing and throughthe-wall radar imaging (TWRI) applications [1][2][3][4][5][6][7][8][9]. First and foremost is the increasing demand on radar systems to deliver high-resolution images in both range and crossrange, which requires the use of wideband signals and large array apertures, respectively.…”

Section: Introductionmentioning

confidence: 99%

Partially sparse imaging of stationary indoor scenes

Ahmad

Amin

Dogaru

2014

EURASIP J. Adv. Signal Process.

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In this paper, we exploit the notion of partial sparsity for scene reconstruction associated with through-the-wall radar imaging of stationary targets under reduced data volume. Partial sparsity implies that the scene being imaged consists of a sparse part and a dense part, with the support of the latter assumed to be known. For the problem at hand, sparsity is represented by a few stationary indoor targets, whereas the high scene density is defined by exterior and interior walls. Prior knowledge of wall positions and extent may be available either through building blueprints or from prior surveillance operations. The contributions of the exterior and interior walls are removed from the data through the use of projection matrices, which are determined from wall-and corner-specific dictionaries. The projected data, with enhanced sparsity, is then processed using l 1 norm reconstruction techniques. Numerical electromagnetic data is used to demonstrate the effectiveness of the proposed approach for imaging stationary indoor scenes using a reduced set of measurements.

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“…In addition, the Army Research Laboratory (ARL) had conducted several field experiments to image an abandoned barrack. During the experiment, the radar system moves along two mutual vertical sides and the two radar images are synthesized coherently to reconstruct the interior layout [6,7].…”

Section: Introductionmentioning

confidence: 99%

Building interior layout reconstruction from through-the-wall radar image using MST-based method

Chen

Jin

et al. 2014

EURASIP J. Adv. Signal Process.

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In order to reconstruct the building interior layout from the through-the-wall radar image, this paper proposes a method based on minimum spanning tree (MST) which comes from the graph theory. The building layout graph (BLG) model is firstly established using the wall-wall-floor trihedrals inside the building. The vertex set and the edge set including the weight between any two nodes of the graph are defined afterwards. Then, the MST-based method is used to reconstruct the building interior layout. We have also improved the traditional method by applying the MST model with restricted conditions to solve the reconstruction problem when there exist interference targets in a building. The anechoic chamber measurements are carried out to demonstrate the suitability and efficacy of the MST-based method.

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Ultrawideband (UWB) Radar Imaging of Building Interior: Measurements and Predictions

Cited by 121 publications

References 21 publications

Stomach Tumor Localization Method of a Support Vector Machine Based on Capsule Endoscopy

Stomach Tumor Localization Method of a Support Vector Machine Based on Capsule Endoscopy

Partially sparse imaging of stationary indoor scenes

Building interior layout reconstruction from through-the-wall radar image using MST-based method

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