Refocusing through building walls using synthetic aperture radar

Dehmollaian, Mojtaba; Sarabandi, Kamal

doi:10.1109/aps.2007.4395782

Cited by 103 publications

(178 citation statements)

References 22 publications

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“…In rescue mission and also in some surveillance operations there is not only the need of detect life signals but also the identification of people in a given area, to facilitate rescue team operations in case of emergencies. This task can be complied with through the wall surveillance techniques [5,[8][9][10][11]. This techniques could be effectively used with efficacy for medical applications like the monitoring of the breathing and heartbeat of critical patients in a clinic.…”

Section: Introductionmentioning

confidence: 99%

A Rescue Radar System for the Detection of Victims Trapped Under Rubble Based on the Independent Component Analysis Algorithm

Donelli¹

2011

PIER M

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Abstract-This work presents a light-weight microwave system for the search and rescue of victims trapped under the rubble of collapsed building during an earthquake or other disasters. The proposed system based on a continuous wave X-band radar is able to detect respiratory and heart fluctuations: the information is extracted from the backscattered electromagnetic field exploiting independent component analysis (ICA) algorithm which provides an efficient noise and clutter cleaning. The proposed rescue radar is compact enough to be mounted onboard of a small unmanned aerial vehicle (UAV) in order to reach inaccessible or dangerous areas. The obtained experimental results show that the proposed detection method is able to successfully locate trapped victims with a reasonable degree of accuracy.

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Section: Introductionmentioning

confidence: 99%

A Rescue Radar System for the Detection of Victims Trapped Under Rubble Based on the Independent Component Analysis Algorithm

Donelli¹

2011

PIER M

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“…If the room is large and the energy emission is small, the target behind the wall may not be detected. For signal processing with multiple targets [9,10], cross-range resolution is enhanced, but this applies to a single, uniform wall. Urdiik et al [11] used weak signal enhancement methods in combination with proper target detectors.…”

Section: Introductionmentioning

confidence: 99%

Time-Delay and Amplitude Modified BP Imaging Algorithm of Multiple Targets for UWB Through-the-Wall Radar Imaging

Zhang¹,

Li²,

Zhao³

et al. 2017

J Inf Process Syst

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In order to solve the undetected probability of multiple targets in ultra-wideband (UWB) through-the-wall radar imaging (TWRI), a time-delay and amplitude modified back projection (BP) algorithm is proposed. The refraction point is found by Fermat's principle in the presence of a wall, and the time-delay is correctly compensated. On this basis, transmission loss of the electromagnetic wave, the absorption loss of the refraction wave, and the diffusion loss of the spherical wave are analyzed in detail. Amplitude compensation is deduced and tested on a model with a single-layer wall. The simulating results by finite difference time domain (FDTD) show that it is effective in increasing the scattering intensity of the targets behind the wall. Compensation for the diffusion loss in the spherical wave also plays a main role. Additionally, the two-layer wall model is simulated. Then, the calculating time and the imaging quality are compared between a singlelayer wall model and a two-layer wall model. The results illustrate the performance of the time-delay and amplitude-modified BP algorithm with multiple targets and multiple-layer walls of UWB TWRI.

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“…This is because the subtraction of consecutive imaging results would eliminate both target and clutter. For this type of scenes, techniques to remove the front wall EM returns without diminishing the target have been devised [6][7][8][9][10]. These approaches were originally introduced to work on all data observations [6][7][8][9], and were later shown to be equally effective under partial data observations, thereby permitting the application of CS for sparse scene reconstruction [10].…”

Section: Introductionmentioning

confidence: 99%

“…For this type of scenes, techniques to remove the front wall EM returns without diminishing the target have been devised [6][7][8][9][10]. These approaches were originally introduced to work on all data observations [6][7][8][9], and were later shown to be equally effective under partial data observations, thereby permitting the application of CS for sparse scene reconstruction [10]. More specifically, direct applications of wall clutter mitigation techniques, such as spatial filtering [9] and subspace projection [8], were shown to be effective in [10], provided that the same reduced set of frequencies or time samples were used at each antenna position.…”

Section: Introductionmentioning

confidence: 99%

Compressive sensing for through wall radar imaging of stationary scenes using arbitrary data measurements

Lagunas

Amin

Ahmad

et al. 2012

2012 11th International Conference on Information Science, Signal Processing and Their Applications (ISSPA)

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In this paper, we deal with removal of wall EM reflections prior to image reconstruction using step-frequency radars. The goal is to enable behind-the-wall target detection and localization from reduced data measurements. In the underlying problem, few frequency observations are available and they differ from one antenna position to another in a SAR imaging system. Because of using a different set of frequencies for different antennas, direct applications of wall clutter mitigation methods, such as subspace and spatial filtering, prove ineffective. To provide these methods with the response measured at the same set of frequencies, a compressive sensing approach is used to reconstruct the range profiles. We use prior knowledge of the wall standoff distance to speed up the convergence of the Orthogonal Matching Pursuit for sparse data reconstruction.

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Refocusing through building walls using synthetic aperture radar

Cited by 103 publications

References 22 publications

A Rescue Radar System for the Detection of Victims Trapped Under Rubble Based on the Independent Component Analysis Algorithm

A Rescue Radar System for the Detection of Victims Trapped Under Rubble Based on the Independent Component Analysis Algorithm

Time-Delay and Amplitude Modified BP Imaging Algorithm of Multiple Targets for UWB Through-the-Wall Radar Imaging

Compressive sensing for through wall radar imaging of stationary scenes using arbitrary data measurements

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