Sense through the wall system development and design considerations

Farwell, Mark; Ross, Jennifer L.; Luttrell, Richard; Cohen, Douglas L.; Chin, Wilbur; Dogaru, Traian

doi:10.1016/j.jfranklin.2008.01.004

Cited by 54 publications

(28 citation statements)

References 9 publications

(9 reference statements)

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“…The SIRE radar is an impulse-based, UWB imaging radar with an effective bandwidth covering 500MHz to 1.5GHz, a frequency range appropriate for sensing through the wall (STTW) applications [1]. As is illustrated in Figure 6, the SIRE radar employs 2 transmit antennas and 16 receiver antennas mounted in a wooden structure and attached to the top of a Ford Expedition.…”

Section: Resultsmentioning

confidence: 99%

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Coherent and non-coherent change detection for through the wall sensing of moving targets

Martone

Ranney

2011

2011 IEEE RadarCon (RADAR)

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Abstract-In this paper a novel change detection technique is introduced and used to process modeling and measurement data of a person walking inside a building. The proposed change detection technique is based on non-coherent change detection. The MT signature, back-wall shadow, front-wall response, and sidelobe-artifact suppression generated by the proposed algorithm are analyzed and compared with those generated by coherent change detection. It will be shown that the proposed algorithm greatly attenuates imaging artifacts while preserving the MT signature.

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Section: Resultsmentioning

confidence: 99%

“…The time-domain approach to moving target indication (MTI) is considered as an alternative to a frequency-domain approach, i.e. Doppler processing, since a very small Doppler shift in backscattered frequency is generated due to: 1) the slow motion of the mover; and 2) the low frequency needed to penetrate through the wall [1].…”

Section: Introductionmentioning

confidence: 99%

Coherent and non-coherent change detection for through the wall sensing of moving targets

Martone

Ranney

2011

2011 IEEE RadarCon (RADAR)

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“…Synthetic aperture radar (SAR) with very high-resolution images plays a crucial role in automatic target recognition (ATR) for their robust ability to work in all weather conditions during day and night in different applications such as homeland security, surveillance and military tasks [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Target recognition in SAR images using radial Chebyshev moments

Bolourchi

Demirel

Uysal

2017

SIViP

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In this study, a new algorithm for classification of ground vehicles from standard synthetic aperture radar (SAR) images is proposed. Radial Chebyshev moment (RCM) is a discrete orthogonal moment that has distinctive advantages over other moments for feature extraction. Unlike invariant moments, its orthogonal basis leads to having minimum information redundancy, and its discrete characteristics explore some benefits over Zernike moments (ZM) due to having no numerical errors and no computational complexity owing to normalization. In this context, we propose to use RCM as the feature extraction mechanism on the segmented image and to compare results of the fused images with both Zernike and radial Chebyshev moments. Firstly, by applying different threshold target and shadow parts of each SAR images are extracted separately. Then, segmented images are fused based on the combination of the extracted segmented region, segmented boundary and segmented texture. Experimental results will verify that accuracy of RCM, which improves significantly over the ZM. Ten percent improvement in the accuracy is obtained by using RCM and fusion of segmented target and shadow parts. Furthermore, feature fusion improves the total accuracy of the classification as high as 6%.

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“…Urban sensing and more particularly TTW imaging has become an important field of research and developments [2], [3] due to its great potentials in terms of civilian and military applications. In fact TTW systems could allow law enforcement officials and military agents to adapt strategies in hostage taking scenarii and avoid risks on the field.…”

Section: Introductionmentioning

confidence: 99%

Through the Wall Radar Imaging with MIMO beamforming processing - Simulation and Experimental Results

Boudamouz¹

2013

AJRS

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Abstract:In this paper, we address the problem of Through The Wall (TTW) detection with the emerging radar concept that is the Multiple-Input Multiple-Output (MIMO) radar. At first, near field and through the wall propagation effects on electromagnetic waves are adressed then a MIMO frequency signal model is given and the advantages of a MIMO scheme for the complex task of TTW detection is discussed. Then image formation with beamforming processing is derived. Finally, the proposed imaging method is implemented on numerical signals obtained by FDTD computations considering through cinder blocks walls propagation. The obtained images for a scenario with one or two targets are presented. Then the experimental setup is exposed and the realised MIMO radar prototype is described. Finally, experimental results of radar imaging through a cinder block wall are shown.

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Sense through the wall system development and design considerations

Cited by 54 publications

References 9 publications

Coherent and non-coherent change detection for through the wall sensing of moving targets

Coherent and non-coherent change detection for through the wall sensing of moving targets

Target recognition in SAR images using radial Chebyshev moments

Through the Wall Radar Imaging with MIMO beamforming processing - Simulation and Experimental Results

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