<p>Esta&nbsp; memoria&nbsp; presenta&nbsp; la&nbsp; t&eacute;cnica&nbsp; de&nbsp; las&nbsp; redes&nbsp; neuronales&nbsp; de&nbsp; Kohonen&nbsp; para&nbsp; reducir&nbsp; la distorsi&oacute;n no lineal en sistemas inal&aacute;mbricos basados en OFDM, para lo cual se hace un estudio completo de los t&oacute;picos para poder implementar un sistema OFDM elaborado en lenguaje JAVA que logre ratificar lo expuesto. Se logra componer un Sistema OFDM que minimiza la distorsi&oacute;n no&nbsp; lineal&nbsp; generada&nbsp; por&nbsp; los&nbsp; Amplificadores&nbsp; de&nbsp; Potencia&nbsp; SSPA&nbsp; y&nbsp; el&nbsp; Ruido&nbsp; Gaussian&nbsp; durante&nbsp; la transmisi&oacute;n de la se&ntilde;al, sistema que utiliza una red neuronal de Kohonen para lograr el objetivo. Luego&nbsp; se&nbsp; elabora&nbsp; un&nbsp; sistema&nbsp; en&nbsp; lenguaje&nbsp; JAVA&nbsp; basado&nbsp; en&nbsp; el&nbsp; algoritmo&nbsp; no&nbsp; supervisado&nbsp; de VQTAM,&nbsp; obteniendo&nbsp; satisfactorios&nbsp; resultados&nbsp; que&nbsp; algunos&nbsp; casos&nbsp; alcanzaron&nbsp; los&nbsp; 6&nbsp; db&nbsp; para sistemas&nbsp; OFDM&nbsp; de&nbsp; 16QAM,&nbsp; sistema&nbsp; que&nbsp; utiliza&nbsp; la&nbsp; t&eacute;cnica&nbsp; de&nbsp; los&nbsp; M&iacute;nimos&nbsp; Cuadrados&nbsp; del algoritmo VQTAM.</p><p>This&nbsp; memory&nbsp; displays&nbsp; the&nbsp; technique&nbsp; by&nbsp; means&nbsp; of&nbsp; the&nbsp; use&nbsp; of&nbsp; the&nbsp; neuronal&nbsp; networks&nbsp; of Kohonen&nbsp; to&nbsp; reduce&nbsp; the&nbsp; distortion&nbsp; nonlinear&nbsp; in&nbsp; wireless&nbsp; systems&nbsp; based&nbsp; on&nbsp; OFDM,&nbsp; for&nbsp; which&nbsp; a complete&nbsp; study&nbsp;&nbsp;&nbsp; made&nbsp; of&nbsp; the&nbsp; topics&nbsp; to&nbsp; be&nbsp; able&nbsp; to&nbsp; implement&nbsp; a&nbsp; OFDM&nbsp; system&nbsp; elaborated&nbsp; in language&nbsp; JAVA&nbsp; that&nbsp; manages&nbsp; to&nbsp; ratify&nbsp; the&nbsp; exposed&nbsp; thing.&nbsp; To&nbsp; be&nbsp; able&nbsp; to&nbsp; compose&nbsp; a&nbsp; System OFDM that minimize the distortion non-linear generated by the SSPA Power Amplifiers and the Gaussian&nbsp; Noise&nbsp; during&nbsp; the&nbsp; transmission&nbsp; of&nbsp; the&nbsp; signal,&nbsp; system&nbsp; that&nbsp; uses&nbsp; a&nbsp; neuronal&nbsp; network&nbsp; of Kohonen&nbsp; to&nbsp; achieve&nbsp; to&nbsp; got&nbsp; the&nbsp; objetive.&nbsp; Later,&nbsp; a&nbsp; system&nbsp; in&nbsp; language&nbsp; JAVA&nbsp; based&nbsp; on&nbsp; the&nbsp; non- supervised algorithm of VQTAM obtained satisfactory results that some of cases reached 6 db for OFDM-16QAM systems, system that uses the technique of the Squared Minimums of algorithm VQTAM.</p>last modificationLicenciado en Ciencias de la IngenieríaIngeniero Civil en InformáticatítuloINGENIERIA CIVIL INFORMATICA<p>Esta&nbsp; memoria&nbsp; presenta&nbsp; la&nbsp; t&eacute;cnica&nbsp; de&nbsp; las&nbsp; redes&nbsp; neuronales&nbsp; de&nbsp; Kohonen&nbsp; para&nbsp; reducir&nbsp; la distorsi&oacute;n no lineal en sistemas inal&aacute;mbricos basados en OFDM, para lo cual se hace un estudio completo de los t&oacute;picos para poder implementar un sistema OFDM elaborado en lenguaje JAVA que logre ratificar lo expuesto. Se logra componer un Sistema OFDM que minimiza la distorsi&oacute;n no&nbsp; lineal&nbsp; generada&nbsp; por&nbsp; los&nbsp; Amplificadores&nbsp; de&nbsp; Potencia&nbsp; SSPA&nbsp; y&nbsp; el&nbsp; Ruido&nbsp; Gaussian&nbsp; durante&nbsp; la transmisi&oacute;n de la se&ntilde;al, sistema que utiliza una red neuronal de Kohonen para lograr el objetivo. Luego&nbsp; se&nbsp; elabora&nbsp; un&nbsp; sistema&nbsp; en&nbsp; lenguaje&nbsp; JAVA&nbsp; basado&nbsp; en&nbsp; el&nbsp; algoritmo&nbsp; no&nbsp; supervisado&nbsp; de VQTAM,&nbsp; obteniendo&nbsp; satisfactorios&nbsp; resultados&nbsp; que&nbsp; algunos&nbsp; casos&nbsp; alcanzaron&nbsp; los&nbsp; 6&nbsp; db&nbsp; para sistemas&nbsp; OFDM&nbsp; de&nbsp; 16QAM,&nbsp; sistema&nbsp; que&nbsp; utiliza&nbsp; la&nbsp; t&eacute;cnica&nbsp; de&nbsp; los&nbsp; M&iacute;nimos&nbsp; Cuadrados&nbsp; del algoritmo VQTAM.</p><p>This&nbsp; memory&nbsp; displays&nbsp; the&nbsp; technique&nbsp; by&nbsp; means&nbsp; of&nbsp; the&nbsp; use&nbsp; of&nbsp; the&nbsp; neuronal&nbsp; networks&nbsp; of Kohonen&nbsp; to&nbsp; reduce&nbsp; the&nbsp; distortion&nbsp; nonlinear&nbsp; in&nbsp; wireless&nbsp; systems&nbsp; based&nbsp; on&nbsp; OFDM,&nbsp; for&nbsp; which&nbsp; a complete&nbsp; study&nbsp;&nbsp;&nbsp; made&nbsp; of&nbsp; the&nbsp; topics&nbsp; to&nbsp; be&nbsp; able&nbsp; to&nbsp; implement&nbsp; a&nbsp; OFDM&nbsp; system&nbsp; elaborated&nbsp; in language&nbsp; JAVA&nbsp; that&nbsp; manages&nbsp; to&nbsp; ratify&nbsp; the&nbsp; exposed&nbsp; thing.&nbsp; To&nbsp; be&nbsp; able&nbsp; to&nbsp; compose&nbsp; a&nbsp; System OFDM that minimize the distortion non-linear generated by the SSPA Power Amplifiers and the Gaussian&nbsp; Noise&nbsp; during&nbsp; the&nbsp; transmission&nbsp; of&nbsp; the&nbsp; signal,&nbsp; system&nbsp; that&nbsp; uses&nbsp; a&nbsp; neuronal&nbsp; network&nbsp; of Kohonen&nbsp; to&nbsp; achieve&nbsp; to&nbsp; got&nbsp; the&nbsp; objetive.&nbsp; Later,&nbsp; a&nbsp; system&nbsp; in&nbsp; language&nbsp; JAVA&nbsp; based&nbsp; on&nbsp; the&nbsp; non- supervised algorithm of VQTAM obtained satisfactory results that some of cases reached 6 db for OFDM-16QAM systems, system that uses the technique of the Squared Minimums of algorithm VQTAM.</p>