dc.creatorPascual, Juan Pablo
dc.creatorVon Ellenrieder, Nicolás
dc.creatorHurtado, Martin
dc.creatorMuravchik, Carlos H.
dc.date.accessioned2017-03-13T20:13:33Z
dc.date.accessioned2018-11-06T11:41:24Z
dc.date.available2017-03-13T20:13:33Z
dc.date.available2018-11-06T11:41:24Z
dc.date.created2017-03-13T20:13:33Z
dc.date.issued2013-07
dc.identifierPascual, Juan Pablo; Von Ellenrieder, Nicolás; Hurtado, Martin; Muravchik, Carlos H.; Radar detection algorithm for GARCH clutter model; Elsevier Inc; Digital Signal Processing; 23; 4; 7-2013; 1255-1264
dc.identifier1051-2004
dc.identifierhttp://hdl.handle.net/11336/13788
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1857721
dc.description.abstractWe propose a GARCH model to represent the clutter in radar applications. We fit this model to real sea clutter data and we show that it represents adequately the statistics of the data. Then, we develop a detection test based on this model. Using synthetic and real radar data, we evaluate its performance and we show that the proposed detector offers higher probability of detection for a specified value of probability of false alarm than tests based on Gaussian and Weibull models, especially for low signal to clutter ratios.
dc.languageeng
dc.publisherElsevier Inc
dc.relationinfo:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.dsp.2013.02.017
dc.relationinfo:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S1051200413000407?via%3Dihub
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subjectRADAR
dc.subjectDETECTION
dc.subjectNON-GAUSSIAN CLUTTER
dc.subjectGARCH PROCESSES
dc.titleRadar detection algorithm for GARCH clutter model
dc.typeArtículos de revistas
dc.typeArtículos de revistas
dc.typeArtículos de revistas


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