A multi-look fusion approach to through-wall radar imaging

Sévigny, Pascale; DiFilippo, D.

doi:10.1109/radar.2013.6586154

Cited by 19 publications

(7 citation statements)

References 10 publications

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“…Thus, the assumption that the signal always perpendicularly propagates through the wall is feasible [18]. For simplicity, efficiency, and flexibility, a fixed time delay [obtained by (9)] is chosen to compensate for the wall effect according to the dynamic range of wall parameters (ε r , d ) for typical walls. Thus, the computation of the positions of ghosts and targets can be done under the assumption of free space after wall compensation, i.e.,…”

Section: Models and Analysismentioning

confidence: 99%

Sidewall Detection Using Multipath in Through-Wall Radar Moving Target Tracking

Liu

Cui

Jia

et al. 2015

IEEE Geosci. Remote Sensing Lett.

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In this letter, we propose a new algorithm to determine the position of the sidewalls by exploiting the multipath echoes of a target bounced from the sidewalls, which is useful to obtain the building layout, determine the relative position of the target in the room, and remove the higher order multipath ghosts for a through-wall tracking radar. Specifically, we first extract the 1-D trajectories of the real target and the multipath ghosts in each receive channel, based on the local maximum values extraction method and the 1-D Kalman filter. Second, by exploiting the principle of the first-order multipath echoes, the position of the sidewall is computed in each frame. In addition, the sidewall position can be obtained by averaging the coordinates of the target and the ghost in the presence of the second-order multipath echoes. Finally, the average of multiple frames is adopted to improve the detection accuracy. The proposed algorithm is validated by simulation and experimental data.

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Section: Models and Analysismentioning

confidence: 99%

Sidewall Detection Using Multipath in Through-Wall Radar Moving Target Tracking

Liu

Cui

Jia

et al. 2015

IEEE Geosci. Remote Sensing Lett.

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“…A multi-view fusion approach is presented to implement rough imaging for all building walls. It performs a long-path synthetic aperture detection with a vertical view and two squint-views along with one building side [ 12 ]. Nevertheless, the long-path pass and the obscure imaging quality are issues that must be noted.…”

Section: Introductionmentioning

confidence: 99%

Single-Side Two-Location Spotlight Imaging for Building Based on MIMO Through-Wall-Radar

Jia

Zhong

Liu

et al. 2016

Sensors

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Through-wall-radar imaging is of interest for mapping the wall layout of buildings and for the detection of stationary targets within buildings. In this paper, we present an easy single-side two-location spotlight imaging method for both wall layout mapping and stationary target detection by utilizing multiple-input multiple-output (MIMO) through-wall-radar. Rather than imaging for building walls directly, the images of all building corners are generated to speculate wall layout indirectly by successively deploying the MIMO through-wall-radar at two appropriate locations on only one side of the building and then carrying out spotlight imaging with two different squint-views. In addition to the ease of implementation, the single-side two-location squint-view detection also has two other advantages for stationary target imaging. The first one is the fewer multi-path ghosts, and the second one is the smaller region of side-lobe interferences from the corner images in comparison to the wall images. Based on Computer Simulation Technology (CST) electromagnetic simulation software, we provide multiple sets of validation results where multiple binary panorama images with clear images of all corners and stationary targets are obtained by combining two single-location images with the use of incoherent additive fusion and two-dimensional cell-averaging constant-false-alarm-rate (2D CA-CFAR) detection.

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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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A multi-look fusion approach to through-wall radar imaging

Cited by 19 publications

References 10 publications

Sidewall Detection Using Multipath in Through-Wall Radar Moving Target Tracking

Sidewall Detection Using Multipath in Through-Wall Radar Moving Target Tracking

Single-Side Two-Location Spotlight Imaging for Building Based on MIMO Through-Wall-Radar

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

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