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Analyse des performances de la détection CFAR dans les radars MIMO.

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dc.contributor.author Khaldi, Fayçal
dc.contributor.author Soltani, Faouzi
dc.date.accessioned 2022-12-15T08:15:14Z
dc.date.available 2022-12-15T08:15:14Z
dc.date.issued 2022-06-27
dc.identifier.uri http://depot.umc.edu.dz/handle/123456789/13468
dc.description.abstract The MIMO (Multiple Input/Multiple Output) concept has been very successful in telecommunications. It is based on the use of several antennas for transmission and several antennas for reception, which enabled the telecommunications system to significantly increase its performance. This concept is well suited to radars where there are several transmitting and receiving antennas, it offers several advantages over conventional SISO radar, in terms of detection, location, identification and tracking performance of targets. In the first part of our work, we are interested in the problem of CFAR detection in a MIMO radar in a Pareto environment. To do this, we introduce new MIMO-CFAR detectors using binary decision rules and the relation between the exponential and Pareto laws, and by analogy to the case of the exponential distribution, we generalize for a MIMO radar the analytical expressions of the probabilities of false alarm of MIMO-CA, MIMO-SO1, MIMO-SO2, MIMOGO1, MIMO-GO2, MIMO-OS1, and MIMO-OS2-CFAR detectors. Finally, we perform an analysis of the proposed detectors via Monte Carlo simulations for homogeneous and non-homogeneous clutter situations. In the second part, we propose to use fuzzy fusion rules to improve the performance of the FCA-CFAR and FOSCFAR detectors for non-coherent MIMO radars in a homogeneous and nonhomogeneous Pareto environment. First, the membership function for each individual detector is calculated. At the fusion center, the membership functions are combined using four fuzzy fusion rules, namely; the “MIN”, “MAX”, “algebraic product” and “algebraic sum” to give a binary decision after defuzzification. fr_FR
dc.language.iso fr fr_FR
dc.publisher Université Frères Mentouri - Constantine 1 fr_FR
dc.subject Electronique: Signaux et Systèmes de Télécommunications fr_FR
dc.subject CFAR adaptive detection fr_FR
dc.subject MIMO Radar fr_FR
dc.subject Fuzzy Fusion fr_FR
dc.subject Pareto Clutter fr_FR
dc.subject Interfering Targets fr_FR
dc.subject Target under test fr_FR
dc.subject Membership function fr_FR
dc.subject الكشف الملائم CFAR fr_FR
dc.subject رادار MIMO fr_FR
dc.subject الاندماج الغامض fr_FR
dc.subject فوضى من نوع Pareto fr_FR
dc.subject أهداف متداخلة fr_FR
dc.subject هدف قيد الاختبار fr_FR
dc.subject وظيفة العضوية fr_FR
dc.title Analyse des performances de la détection CFAR dans les radars MIMO. fr_FR
dc.type Thesis fr_FR

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