dc.creatorGonzález, Efrén
dc.creatorRico Martínez, Miguel Angel
dc.creatorCluckier, Ian
dc.creatorDe la Rosa Vargas, José Ismael
dc.creatorAlaniz Lumbreras, Daniel
dc.date.accessioned2020-05-02T15:17:35Z
dc.date.accessioned2022-10-14T15:13:22Z
dc.date.available2020-05-02T15:17:35Z
dc.date.available2022-10-14T15:13:22Z
dc.date.created2020-05-02T15:17:35Z
dc.date.issued2012-02
dc.identifierhttp://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1863
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4247006
dc.description.abstractThis paper presents a robust algorithm for clutter modelling based on the radar equation, radar characteristics and digital elevation data. Optimization methods from adaptive signal processing theory were used to calculate the weights of an adaptive linear combiner representing the radar system for clutter modelling. Modelled clutter showed an acceptable precision demanded by applications on meteorology and hydrology for radar rainfall estimations.
dc.languageeng
dc.publisherIAHS Publ.
dc.relationgeneralPublic
dc.rightshttp://creativecommons.org/licenses/by-nc-nd/3.0/us/
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 Estados Unidos de América
dc.sourceProceedings of a symposium held in Exeter, Weather Radar and Hydrology Symposium, Exeter, UK, April 2011, IAHS Publ. 351, Vol. 351, pp.58-63, 2012.
dc.titleDesign of a clutter modelling algorithm based on SRTM DEM Data and adaptive signal processing methods
dc.typeActas de congresos


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