Study and analysis of a CFAR distributed detection system
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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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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.
Beschrijving
(2)
Bol
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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