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Rayleigh probability density function in linear and logarithmic units

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Rayleigh probability density function in linear and logarithmic units

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dc.contributor.author Reig Pascual, Juan Ribera es_ES
dc.date.accessioned 2012-09-28T06:55:52Z
dc.date.available 2012-09-28T06:55:52Z
dc.date.issued 2012-09-28
dc.identifier.uri http://hdl.handle.net/10251/17281
dc.description.abstract This virtual lab shows the probability density function of the lognormal distribution in both linear (received field strenght in uV/m) and logarithmic units (received power in dBm). The Rayleigh distribution has been extensively used to model the fast fading amplitude distribution in wireless communication due to its simplicity and accuracy in non line-of-sight (NLOS) situations. The objective is to show the approximation of the experimental to the analytical probability density function (PDF) in both linear (uV/m) and logarithmic (dBm) units. The experimental PDF has been calculated using the Monte Carlo simulation procedure. The analytical or theoretical PDF is obtained using the Rayleigh PDF formula. Note that the shape of the Rayleigh distribution in dBm is constant and independent on the average power in dBm. Obviosusly, higher the number of observation larger the fit between the analytical and experimental distributions. es_ES
dc.description.uri https://laboratoriosvirtuales.upv.es/eslabon/Rayleigh_pdf es_ES
dc.language Inglés es_ES
dc.publisher Universitat Politècnica de València es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Wireless communications es_ES
dc.subject Propagation es_ES
dc.subject Fading es_ES
dc.subject Small-scale fading es_ES
dc.subject Rayleigh es_ES
dc.subject.classification TEORIA DE LA SEÑAL Y COMUNICACIONES es_ES
dc.title Rayleigh probability density function in linear and logarithmic units es_ES
dc.type Objeto de aprendizaje
dc.lom.learningResourceType Laboratorio virtual de simulación es_ES
dc.lom.interactivityLevel Alto es_ES
dc.lom.semanticDensity Muy alto es_ES
dc.lom.intendedEndUserRole Profesor es_ES
dc.lom.context Postgrado es_ES
dc.lom.difficulty Difícil es_ES
dc.lom.typicalLearningTime 15 minutes es_ES
dc.lom.educationalDescription Introduce the average power in dBm. Then, the frequency in MHz and the antenna gain in dBi. Finally, enter the number of observations Rayleigh distributed. NOTE THAT THE SIMULATION TIME CANNOT BE NEGLIGIBLE FOR A HIGH NUMBER OF OBSERVATIONS es_ES
dc.lom.educationalLanguage Inglés es_ES
dc.upv.convocatoriaDocenciaRed 2011-2012 es_ES
dc.upv.ambito PUBLICO es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Telecomunicación - Escola Tècnica Superior d'Enginyers de Telecomunicació es_ES
dc.description.bibliographicCitation Reig Pascual, JR. (2012). Rayleigh probability density function in linear and logarithmic units. http://hdl.handle.net/10251/17281 es_ES


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