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Advanced radar detection schemes under mismatched signal models

Adaptive detection of signals embedded in correlated Gaussian noise has been an active field of research in the last decades. This topic is important in many areas of signal processing such as, just to give some examples, radar, sonar, communications, and hyperspectral imaging. Most of the existing...

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Detalles Bibliográficos
Autores principales: Bandiera, Francesco, Orlando, Danilo
Lenguaje:eng
Publicado: Morgan & Claypool Publishers 2009
Materias:
Acceso en línea:http://cds.cern.ch/record/1614193
Descripción
Sumario:Adaptive detection of signals embedded in correlated Gaussian noise has been an active field of research in the last decades. This topic is important in many areas of signal processing such as, just to give some examples, radar, sonar, communications, and hyperspectral imaging. Most of the existing adaptive algorithms have been designed following the lead of the derivation of Kelly's detector which assumes perfect knowledge of the target steering vector. However, in realistic scenarios, mismatches are likely to occur due to both environmental and instrumental factors. When a mismatched signal