ResumenEn este artículo se proporcionan datos sobre la impedancia propia de dipolos cortos y curvos que permiten verificar la exactitud de un programa de computadora personal hecho para analizar las características de radiación de una antena determinada por el método de momentos. En partic ular, estos datos sirven para comprobar los elementos complejos de la diag onal prin cipal de la matriz de impedancias obtenida por dicho método para una gran diversidad de antenas con geometría cónica. Adicionalmente, los resultados obtenidos demuestran que el error introducido al aproximar cada dipolo curvo por uno recto es despreciable, siempre y cuando su radio de curvatura sea igual o mayor que 2.Descriptores: dipolo corto, dipolo curvo, impedancia propia, método de momentos, geometría cónica. Abstract Data on the self im ped ance of short and bent di poles are pro vided in this pa per, that are use ful to ver ify the ef fec tive ness of com puter pro grams writ ten to an a lyze the ra di a tion char ac ter istics of a de ter mined an tenna by the Mo ment Method. Par tic u larly, these data are use ful to check the el e ments of the main di ag o nal of the com plex im ped ance ma trix that is ob tained by this method, and can be used for many an ten nas of dif fer ent con i cal ge om e try. Ad di tional ly, the re sults ob tained show that the er ror in tro duced when ap prox i mat ing each bent di pole b y a straight one is neg li gi ble, as long as its cur va ture ra dius is equal or greater than 2.Key words: short di pole, bent di pole, self-impedance, mo ment method, con i cal ge om e try. IntroducciónEn todo sistema de comunicación inalámbrica es necesario caracterizar las antenas por medio de sus propiedades de radiación. Existen varios métodos numéricos que facilitan estos cálculos, uno de ellos es el Método de Mo-mentos, que di vide a la antena bajo estudio en N segmentos, considerados como dipo-los cortos, mismos que pueden o no tener la misma longitud. Cada segmento tiene una impedancia propia asociada, y debido a la
One of the main elements monitored in volcanic emissions is SO 2 due to the contrast of concentrations between the volcanos compared to the background of the atmosphere. Different methodologies have been developed from remote sensing techniques from the ground and from space. In particular, the COSPEC technique has been used efficiently from terrestrial vehicles, allowing the emission rate of SO 2 with estimated relative errors of ± 13% to ± 42% to be obtained. However, the logistics required to carry out continuous measurement campaigns in the Popocatepetl area, allows exclusively 2 or 3 measurements a month and only during daylight hours. Another type of methodology based on remote sensing is the processing of satellite images in the thermal infrared. In this case, the use of MODIS images allows obtaining daily SO 2 information both in images taken at daylight hours or during the night period, which gives a maximum temporal resolution of images for the sensor in the study area (maximum 4 images per day). In order to construct time series from both techniques, the flux of SO 2 derived from the COSPEC sensor are used as a reference, which allows the MODIS image identification within the area of the plume that was sampled with the COSPEC sensor. We aim to propose an adjustment methodology to reconstruct the information with the aforementioned values. Between
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