Ghost image cancellation algorithm through numeric beamforming for multi‐antenna radar imaging. Issue 5 (1st June 2013)

• Record Type: Journal Article
• Authors: Vermesan, Irina; Carsenat, David; Decroze, Cyril; Reynaud, Sébastien
• Is Part Of: IET radar, sonar & navigation. Volume 7:Issue 5(2013)
• Page Start: 480
• Page End: 488
• Publication Date: 2013-06-01
• Subjects: antenna arrays -- array signal processing -- phased array radar -- radar antennas -- radar clutter -- radar imaging; ghost image cancellation algorithm -- numeric beamforming -- multiantenna radar imaging -- target identification -- through‐the‐wall imaging applications -- multipath propagation -- fake impressions -- final radar image -- signal‐to‐spurious‐ratio -- target‐to‐ghost‐ratio -- clutters -- returned signal -- phased array monostatic radar system -- global SSR gain -- target localisation -- scattering environments; Signal processing -- Periodicals; Radar -- Periodicals; Sonar -- Periodicals; Electronics in navigation -- Periodicals; Navigation -- Periodicals; 621.3848
• DOI: 10.1049/iet-rsn.2012.0191
• Languages: English
• ISSNs: 1751-8784

Abstract

Abstract : 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.