Study and analysis of a CFAR distributed detection system - Bouchelaghem, Houssameddine
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Detection performance can be improved by using distributed detection systems. In these systems, each detector sends either a binary decision or condensed information on the observations available at the detector level to the fusion center. Then, a global decision about the presence of a target is made using binary fusion rules.In this thesis, we have considered the problem of data fusionin the context of adaptive CFAR detection (CMAP-CFAR). In this context, we studied three different types of data fusion, such as binary integration, binary fusion and fuzzy fusion.

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Produktbeschreibung
Detection performance can be improved by using distributed detection systems. In these systems, each detector sends either a binary decision or condensed information on the observations available at the detector level to the fusion center. Then, a global decision about the presence of a target is made using binary fusion rules.In this thesis, we have considered the problem of data fusionin the context of adaptive CFAR detection (CMAP-CFAR). In this context, we studied three different types of data fusion, such as binary integration, binary fusion and fuzzy fusion.
Autorenporträt
Houssameddine Bouchelaghem was born in Guelma, Algeria in July 1986. He received the Master degree from Guelma University in 2012 in Electronic Systems. Now, He received the PHD degree in electrical engineering, in 2018, from university of UMBB. His main research interests include radar CFAR detection, estimation theory, distributed sensors network.