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Superresolution multitarget parameter estimation in MIMO radar / Kai Luo in IEEE Transactions on geoscience and remote sensing, vol 51 n° 6 Tome 2 (June 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 6 Tome 2 (June 2013) . - pp 3683 - 3693 Titre : Superresolution multitarget parameter estimation in MIMO radar Type de document : Article/Communication Auteurs : Kai Luo, Auteur ; Athanassios Manikas, Auteur Année de publication : 2013 Article en page(s) : pp 3683 - 3693 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] détection de cible [Termes IGN] image à ultra haute résolution [Termes IGN] interférence Résumé : (Auteur) This paper is concerned with a multiple-input-multiple-output (MIMO) radar operating in an environment with two or more closely located targets. In this scenario, mutual target interference is a serious problem for multitarget parameter estimation, reducing the performance of existing methods such as least squares, Capon, and amplitude and phase estimation. In contrast to previous methods where the overall effect of mutual target interference is treated as “noise,” in this paper, two methods for suppressing this interference are proposed. The first is based on a constrained optimization problem that provides an iterative method. The second involves a novel nonlinear optimization based on a cost function of targets' directions which is solved using the biogeography-based-optimization algorithm. The performances of both the proposed approaches are evaluated via computer simulation studies and shown to outperform existing methods. Numéro de notice : A2013-303 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2012.2226466 En ligne : https://doi.org/10.1109/TGRS.2012.2226466 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32441 [article]

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