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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| Export | Download | More... 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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