Antennas array adjust with adaptive neuronal system

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Main Author: Alejandro Padrón
Format: Artículo científico
Language:en
Published: Universidad Nacional Autónoma de México 2004
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author Alejandro Padrón
author_facet Alejandro Padrón
contents Antennas array adjust with adaptive neuronal system Alejandro Padrón Jeny Ivette Garduño Alberto Arturo Herrera Rael Prieto Ingeniería Array Factor (AF) Side Lobe Level (SLL) Linear Antenna Array (LAA) Adaptive Artificial Neural Networks (AANN) In this work an array failure correction for Linear Antenna Array (LAA) is presented. This is carried out by means ofan Adaptive Artificial Neural Network (AANN) that adjusts the amplitude and phase at beamforming. Theappropriated corrections are given, when one, or two, or three elements have a failure in the antenna linear array.The AANN corrects the corresponding parameters in the radiation pattern obtained due to the failure, when weknow the coefficients of the array factor (AF). This yields a reduction of side lobe level and some interferencesdisappear. 2004 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47402301 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.3 Vol.2
format Artículo científico
id redalyc_47402301
institution Redalyc
language en
publishDate 2004
publisher Universidad Nacional Autónoma de México
spellingShingle Antennas array adjust with adaptive neuronal system
Alejandro Padrón
Ingeniería
Array Factor (AF)
Side Lobe Level (SLL)
Linear Antenna Array (LAA)
Adaptive Artificial Neural Networks (AANN)
Antennas array adjust with adaptive neuronal system Alejandro Padrón Jeny Ivette Garduño Alberto Arturo Herrera Rael Prieto Ingeniería Array Factor (AF) Side Lobe Level (SLL) Linear Antenna Array (LAA) Adaptive Artificial Neural Networks (AANN) In this work an array failure correction for Linear Antenna Array (LAA) is presented. This is carried out by means ofan Adaptive Artificial Neural Network (AANN) that adjusts the amplitude and phase at beamforming. Theappropriated corrections are given, when one, or two, or three elements have a failure in the antenna linear array.The AANN corrects the corresponding parameters in the radiation pattern obtained due to the failure, when weknow the coefficients of the array factor (AF). This yields a reduction of side lobe level and some interferencesdisappear. 2004 artículo científico 1665-6423 https://www.redalyc.org/articulo.oa?id=47402301 en http://www.redalyc.org/revista.oa?id=474 Journal of Applied Research and Technology application/pdf Universidad Nacional Autónoma de México Journal of Applied Research and Technology (México) Num.3 Vol.2
title Antennas array adjust with adaptive neuronal system
topic Ingeniería
Array Factor (AF)
Side Lobe Level (SLL)
Linear Antenna Array (LAA)
Adaptive Artificial Neural Networks (AANN)
url https://www.redalyc.org/articulo.oa?id=47402301