CFAR data fusion center with inhomogeneous receivers

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/2061

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor	Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.author	Elias Fusté, Antoni
dc.contributor.author	Broquetas Ibars, Antoni
dc.date	1989-03-20
dc.identifier.citation	Elias, A. ; Broquetas, A. CFAR data fusion center with inhomogeneous receivers. IEEE Transactions on aerospace and electronic systems, 1992, vol. 28, núm. 1, p. 276-285.
dc.identifier.citation	0018-9251
dc.identifier.uri	http://hdl.handle.net/2117/2061
dc.language.iso	eng
dc.publisher	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject	Signal processing
dc.subject	Signal detection
dc.subject	Radar
dc.subject	probability
dc.subject	radar interference
dc.subject	radar receivers
dc.subject	radar theory
dc.subject	signal detection
dc.subject	CFAR data fusion center
dc.subject	CFAR receivers
dc.subject	Rayleigh targets
dc.subject	cell averaging CFAR detector
dc.subject	distributed sensors
dc.subject	fixed level of false alarms
dc.subject	fusion decision OR rule
dc.subject	inhomogeneous receivers
dc.subject	interference
dc.subject	ordered statistic CFAR detector
dc.subject	probability of detection
dc.subject	recursive formulation
dc.subject	threshold levels
dc.subject	Processament del senyal
dc.subject	Detecció del senyal
dc.subject	Radar
dc.title	CFAR data fusion center with inhomogeneous receivers
dc.type	info:eu-repo/semantics/article
dc.description.abstract	Detection systems with distributed sensors and data fusion are increasingly used by surveillance systems. A system formed by N inhomogeneous constant false alarm rate (CFAR) detectors (cell-averaging (CA) and ordered statistic (OS) CFAR detectors) is studied. A recursive formulation of an algorithm that permits a fixed level of false alarms in the data fusion center is presented, to set the optimum individual threshold levels in the CFAR receivers and the optimum `K out of N' decision rule in order to maximize the total probability of detection. The algorithm also considers receivers of different quality or with different communication channel qualities connecting them with the fusion center. This procedure has been applied to several hypothetical networks with distributed CA-CFAR and OS-CFAR receivers and for Rayleigh targets and interference, and it was seen that in general the fusion decision OR rule is not always the best.
dc.description.abstract	Peer Reviewed

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