Predicción lineal de norma mínima en la detección de fuentes en ruido

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/88362

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor.author	Lagunas Hernandez, Miguel A.
dc.contributor.author	Santamaría Pérez, María Eugenia
dc.date	1983
dc.identifier.citation	Lagunas, M., Santamaría, M. Predicción lineal de norma mínima en la detección de fuentes en ruido. A: Simposium Nacional de la Unión Científica Internacional de Radio. "URSI 1983: Unión Radio Científica Internacional: II symposium nacional: Murcia: 26-27 septiembre 1983". Murcia: Unión Científica Internacional de Radio (URSI), 1983, p. 227-231.
dc.identifier.uri	http://hdl.handle.net/2117/88362
dc.language.iso	spa
dc.publisher	Unión Científica Internacional de Radio (URSI)
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació
dc.subject	Spectrum analysis
dc.subject	Anàlisi espectral
dc.title	Predicción lineal de norma mínima en la detección de fuentes en ruido
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	This work deals with the problem of detecting deterministic sinusoids in white noise. The procedure, due to kumaresan and Tufts (T-K), is briefly described as a minimum norm exact-linear-prediction design. This method has proved a better performance than currently reported methods in the same field, mainly for very short data records or small number of sensors for angle of arrival estimation in sonar o radar arrays. The algorithm is tested against maximum entropy and phased arrays in order to stablish its performance as concerns with statistical stability, tracking and ROC characteristics.
dc.description.abstract	Peer Reviewed

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