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 in | IET radar, sonar & navigation Vol. 7; no. 5; pp. 480 - 488 |
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| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Stevenage
The Institution of Engineering and Technology
01.06.2013
The Institution of Engineering & Technology Institution of Engineering and Technology |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1751-8784 1751-8792 |
| DOI | 10.1049/iet-rsn.2012.0191 |
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| 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. |
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| AbstractList | 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. 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. [PUBLICATION ABSTRACT] |
| Author | Carsenat, David Reynaud, Sébastien Vermesan, Irina Decroze, Cyril |
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| Cites_doi | 10.2528/PIER08040601 10.1109/TGRS.2010.2042298 10.1109/LAWP.2009.2014890 |
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| Copyright | The Institution of Engineering and Technology 2020 The Institution of Engineering and Technology Copyright The Institution of Engineering & Technology Jun 2013 Distributed under a Creative Commons Attribution 4.0 International License |
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| Keywords | fake impressions returned signal radar antennas target localisation target identification phased array monostatic radar system global SSR gain ghost image cancellation algorithm multipath propagation multiantenna radar imaging clutters scattering environments radar clutter final radar image antenna arrays radar imaging signal-to-spurious-ratio numeric beamforming through-the-wall imaging applications target-to-ghost-ratio array signal processing phased array radar |
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| References | Akhdar, O.; Mouhamadou, M.; Carsenat, D.; Decroze, C.; Monediere, T. (C11) 2009; 8 Estephan, H.; Amin, M.G.; Yemelyanov, K.M. (C5) 2011; 48 Yang, Y.; Wang, Y.; Fathy, A.E. (C12) 2008; 82 2008 2007 2006 2009; 8 2005 2003 2011; 48 1980 2002 2011 2008; 82 Dilsavor R. (e_1_2_6_16_1) 2005 Chen Q. (e_1_2_6_10_1) 2008 Jin Y. (e_1_2_6_9_1) 2007 Fang G. (e_1_2_6_14_1) 2003 Skolnik M. (e_1_2_6_5_1) 2008 Jiang Y. (e_1_2_6_8_1) 2007 Rappaport T.S. (e_1_2_6_15_1) 2002 Mailloux R. (e_1_2_6_4_1) 2005 Setlur P. (e_1_2_6_7_1) 2011 Skolnik M. (e_1_2_6_2_1) 2003 e_1_2_6_6_1 Skolnik M. (e_1_2_6_3_1) 1980 Jao J.K. (e_1_2_6_11_1) 2006 e_1_2_6_13_1 e_1_2_6_12_1 |
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| Snippet | 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... 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... |
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| SubjectTerms | Algorithms antenna arrays array signal processing clutters fake impressions final radar image Gain ghost image cancellation algorithm Ghosts global SSR gain multiantenna radar imaging multipath propagation numeric beamforming phased array monostatic radar system phased array radar Phased arrays Radar radar antennas radar clutter Radar imaging returned signal scattering environments Signal processing signal‐to‐spurious‐ratio target identification target localisation target‐to‐ghost‐ratio through‐the‐wall imaging applications |
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| Title | Ghost image cancellation algorithm through numeric beamforming for multi-antenna radar imaging |
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