Time Reversal Synthetic Aperture Radar Imaging In Multipath

Jin, Yufeng; Moura, J.M.F.; O’Donoughue, Nicholas; Mulford, M.T.; Samuel, A.A.

doi:10.1109/acssc.2007.4487547

Cited by 16 publications

(35 citation statements)

References 5 publications

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“…By exploiting these strengths, a TR-SAR system to monitor forests or dense urban environments is deployed, increasing the probability of detecting a target [9]. In short, its ultimate goal is to improve automated target recognition in dense multipath [7]. To that end, focusing indicators can be really useful [10]- [12], as it will be shown in this work.…”

Section: Introductionmentioning

confidence: 99%

“…Another distinction with regard to the contribution of the authors of [7] and [8] is the fact that they carry out two-pass data collections of the same scene in order to detect targets. The difference between them is that the first one is made when targets are not present so as to characterize the clutter environment.…”

Section: B Configurationmentioning

confidence: 99%

“…Unlike [7] and [8], it is important to emphasize that our TR-SAR algorithm has been developed for stripmap mode [1]. The reason is that the chosen SAR image formation algorithm -RMA, Range Migration Algorithm-requires azimuth chirp preservation so as to work properly.…”

Section: B Configurationmentioning

confidence: 99%

“…Broadly speaking, TR-SAR algorithm processes multipath corrupted phase history data following the next stages [7]- [9], [13]- [15], which will be repeated for each detected prominent point (k=1,…,K) and for each transmitted pulse (l=1,…,L):…”

Section: Tr-sar Algorithmmentioning

confidence: 99%

“…In this paper, an innovative multipath mitigation technique is presented in which Time Reversal (TR) concept is applied to SAR images when the target is concealed in clutter, leading to TR-SAR technique [7]- [8]. Our motivation comes from the fact that most of the techniques aimed at reducing multipath, quoted in the literature, are related to antenna design.…”

Section: Introductionmentioning

confidence: 99%

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New technique for static target detection in dense-multipath urban environments

Arriba-Ruiz

Pérez-Martínez

Muñoz‐Ferreras

2011

2011 Carnahan Conference on Security Technology

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-Synthetic Aperture Radar (SAR) images a target region reflectivity function in the multi-dimensional spatial domain of range and cross-range with a finer azimuth resolution than the one provided by any on-board real antenna. Conventional SAR techniques assume a single reflection of transmitted waveforms from targets. Nevertheless, new uses of Unmanned Aerial Vehicles (UAVs) for civilian-security applications force SAR systems to work in much more complex scenes such as urban environments. Consequently, multiple-bounce returns are additionally superposed to direct-scatter echoes. They are known as ghost images, since they obscure true target image and lead to poor resolution. All this may involve a significant problem in applications related to surveillance and security. In this work, an innovative multipath mitigation technique is presented in which Time Reversal (TR) concept is applied to SAR images when the target is concealed in clutter, leading to TR-SAR technique. This way, the effect of multipath is considerably reduced -or even removed-, recovering the lost resolution due to multipath propagation. Furthermore, some focusing indicators such as entropy (E), contrast (C) and Rényi entropy (RE) provide us with a good focusing criterion when using TR-SAR.

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Section: Introductionmentioning

confidence: 99%

Section: B Configurationmentioning

confidence: 99%

Section: B Configurationmentioning

confidence: 99%

Section: Tr-sar Algorithmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

New technique for static target detection in dense-multipath urban environments

Arriba-Ruiz

Pérez-Martínez

Muñoz‐Ferreras

2011

2011 Carnahan Conference on Security Technology

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Multipath synthetic aperture radar imaging

DeLaurentis¹

2011

IET Radar Sonar Navig.

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Ghost image cancellation algorithm through numeric beamforming for multi‐antenna radar imaging

Vermešan¹,

Carsenat²,

Decroze³

et al. 2013

IET Radar, Sonar & Navigation

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In this study, a new approach is proposed for accurate target identification, required by the phased array radar systems that are employed in through-the-wall imaging applications. In radar imaging, the effects of the multipath propagation are materialised in fake impressions of the true target, known as ghost images. The developed algorithm removes these ambiguities related to the existence of a target by cancelling, in the final radar image, the ghost images by means of improving the global signal-to-spurious-ratio (SSR) and the target-to-ghost-ratio (TGR) that characterise the real target signature. The development of the approach is based on beamforming and on coherent signal processing upon the returned signal and clutters, for a phased array monostatic radar system. The performances of the algorithm are measured in terms of both the global SSR gain and the TGR and they are verified through simulations and measurements in scenarios that quantify the robustness of the approach. The obtained numerical results concerning the global SSR gain and the TGR certify that the proposed method improves the target localisation and removes the ghost images for radars that operate in rich scattering environments. In the end, the limitations of the approach are also presented.

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Time Reversal Synthetic Aperture Radar Imaging In Multipath

Abstract: Abstract

Cited by 16 publications

References 5 publications

New technique for static target detection in dense-multipath urban environments

New technique for static target detection in dense-multipath urban environments

Multipath synthetic aperture radar imaging

Ghost image cancellation algorithm through numeric beamforming for multi‐antenna radar imaging

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