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

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, kno...

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Published inIET radar, sonar & navigation Vol. 7; no. 5; pp. 480 - 488
Main Authors Vermesan, Irina, Carsenat, David, Decroze, Cyril, Reynaud, Sébastien
Format Journal Article
LanguageEnglish
Published Stevenage The Institution of Engineering and Technology 01.06.2013
The Institution of Engineering & Technology
Institution of Engineering and Technology
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ISSN1751-8784
1751-8792
DOI10.1049/iet-rsn.2012.0191

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Summary: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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ISSN:1751-8784
1751-8792
DOI:10.1049/iet-rsn.2012.0191