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Titre: | A new adaptive linear combined CFAR detector in presence of interfering targets |
Auteur(s): | Magaz, B. Belouchrani, A. Hamadouche, M. |
Mots-clés: | Adaptive composite Adaptive thresholds Adaptive weighting Background estimation CA-CFAR Cell averaging CFAR detector Constant false alarm rate detectors Interfering targets Monte Carlo Simulation Ordered statistics OS-CFAR |
Date de publication: | 2011 |
Collection/Numéro: | Progress In Electromagnetics Research B/ Vol.°34 (2011);pp. 367-387 |
Résumé: | View at Publisher|
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Progress In Electromagnetics Research B
Issue 34, 2011, Pages 367-387
A new adaptive linear combined CFAR detector in presence of interfering targets (Article)
Magaz, B.a , Belouchrani, A.a, Hamadouche, M.b
a Electronics Department, Ecole Nationale Polytechnique, Algiers, Algeria
b Department of Physics, University of Boumerdes, Boumerdes, Algeria
View references (15)
Abstract
In this paper, a new radar constant false alarm rate detector to perform adaptive threshold target detection in presence of interfering targets is proposed. The proposed CFAR detector, referred to as Adaptive Linear Combined CFAR, ALC-CFAR, employs an adaptive composite approach based on the well-known cell averaging CFAR, CA-CFAR, and the ordered statistics, OS-CFAR, detectors. Data in the reference window is used to compute an adaptive weighting factor employed in the fusion scheme. Based on this factor, the ALCCFAR tailors the background estimation algorithm. The conducted Monte Carlo simulation results demonstrate that the proposed detector provides low loss CFAR performance in an homogeneous environment and also performs robustly in presence of interfering targets. The performances of the ALC-CFAR detector have been evaluated and compared with that of the CA-CFAR and the OS-CFAR detectors. The obtained results are presented and discussed in this paper |
URI/URL: | http://dlibrary.univ-boumerdes.dz:8080123456789/1792 |
ISSN: | 19376472 |
Collection(s) : | Publications Internationales
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