Alternating Adaptive Beamforming System Based on the APL/SR-LMS Algorithms

Beamforming is a wireless communication technique used in telecommunications applications, which is used to separate a desired signal from interfering signals. This technique increases the coverage range and reduces the interference problem, improving the performance of the systems. To achieve this...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: del Ángel Ruíz, Jesús Roberto, Rosales, Xochitl Maya, Avalos, Juan Gerardo, Trejo Villanueva, Carlos Alfonso, Sánchez Rivera, Giovanny
Formato: Artículo publishedVersion
Lenguaje:Español
Publicado: FIUBA 2022
Materias:
Acceso en línea:https://elektron.fi.uba.ar/elektron/article/view/140
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=elektron&d=140_oai
Aporte de:
id I28-R145-140_oai
record_format dspace
spelling I28-R145-140_oai2026-02-11 del Ángel Ruíz, Jesús Roberto Rosales, Xochitl Maya Avalos, Juan Gerardo Trejo Villanueva, Carlos Alfonso Sánchez Rivera, Giovanny 2022-06-15 Beamforming is a wireless communication technique used in telecommunications applications, which is used to separate a desired signal from interfering signals. This technique increases the coverage range and reduces the interference problem, improving the performance of the systems. To achieve this operation, adaptive algorithms are required. In this work, an alternating structure for beamforming systems is presented, which is composed of two algorithms, the Sign Regressor Least Mean Square (SR-LMS) and the Affine Projection Like (APL) algorithm. The results show that the proposed structure has the best characteristics of the combined algorithms, obtaining an algorithm with a high convergence speed and lower computational cost compared to other algorithms based on conventional convex combinations. El Beamforming es una técnica de comunicación inalámbrica utilizada en aplicaciones de telecomunicaciones, la cual se usa para separar una señal deseada de señales interferentes. Esta técnica aumenta el rango de cobertura y reduce el problema de interferencia, mejorando el rendimiento de los sistemas. Para lograr dicho funcionamiento se requiere de algoritmos adaptativos. En este trabajo, se presenta una estructura alternante para sistemas beamforming, la cual está compuesta por dos algoritmos adaptativos, el Sign Regressor Least Mean Square (SR-LMS) y el algoritmo Affine Projection Like (APL). Los resultados demuestran que la estructura propuesta tiene las mejores características de los algoritmos combinados, obteniendo un algoritmo con una alta velocidad de convergencia y menor costo computacional en comparación con otros algoritmos basados en combinaciones convexas convencionales. application/pdf text/html https://elektron.fi.uba.ar/elektron/article/view/140 10.37537/rev.elektron.6.1.140.2022 spa FIUBA https://elektron.fi.uba.ar/elektron/article/view/140/284 https://elektron.fi.uba.ar/elektron/article/view/140/293 Derechos de autor 2022 Juan Gerardo Avalos Elektron Journal; Vol. 6 No. 1 (2022); 52-57 Revista Elektron; Vol. 6 Núm. 1 (2022); 52-57 Revista Elektron; v. 6 n. 1 (2022); 52-57 2525-0159 2525-0159 Beamforming adaptive filtering adaptive algorithms convex combination Beamforming filtrado adaptativo algoritmos adaptativos combinación convexa Alternating Adaptive Beamforming System Based on the APL/SR-LMS Algorithms Estructura alternante para sistemas de beamforming adaptativo basada en los algoritmos APL/SR-LMS info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=elektron&d=140_oai
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-145
collection Repositorio Digital de la Universidad de Buenos Aires (UBA)
language Español
orig_language_str_mv spa
topic Beamforming
adaptive filtering
adaptive algorithms
convex combination
Beamforming
filtrado adaptativo
algoritmos adaptativos
combinación convexa
spellingShingle Beamforming
adaptive filtering
adaptive algorithms
convex combination
Beamforming
filtrado adaptativo
algoritmos adaptativos
combinación convexa
del Ángel Ruíz, Jesús Roberto
Rosales, Xochitl Maya
Avalos, Juan Gerardo
Trejo Villanueva, Carlos Alfonso
Sánchez Rivera, Giovanny
Alternating Adaptive Beamforming System Based on the APL/SR-LMS Algorithms
topic_facet Beamforming
adaptive filtering
adaptive algorithms
convex combination
Beamforming
filtrado adaptativo
algoritmos adaptativos
combinación convexa
description Beamforming is a wireless communication technique used in telecommunications applications, which is used to separate a desired signal from interfering signals. This technique increases the coverage range and reduces the interference problem, improving the performance of the systems. To achieve this operation, adaptive algorithms are required. In this work, an alternating structure for beamforming systems is presented, which is composed of two algorithms, the Sign Regressor Least Mean Square (SR-LMS) and the Affine Projection Like (APL) algorithm. The results show that the proposed structure has the best characteristics of the combined algorithms, obtaining an algorithm with a high convergence speed and lower computational cost compared to other algorithms based on conventional convex combinations.
format Artículo
publishedVersion
author del Ángel Ruíz, Jesús Roberto
Rosales, Xochitl Maya
Avalos, Juan Gerardo
Trejo Villanueva, Carlos Alfonso
Sánchez Rivera, Giovanny
author_facet del Ángel Ruíz, Jesús Roberto
Rosales, Xochitl Maya
Avalos, Juan Gerardo
Trejo Villanueva, Carlos Alfonso
Sánchez Rivera, Giovanny
author_sort del Ángel Ruíz, Jesús Roberto
title Alternating Adaptive Beamforming System Based on the APL/SR-LMS Algorithms
title_short Alternating Adaptive Beamforming System Based on the APL/SR-LMS Algorithms
title_full Alternating Adaptive Beamforming System Based on the APL/SR-LMS Algorithms
title_fullStr Alternating Adaptive Beamforming System Based on the APL/SR-LMS Algorithms
title_full_unstemmed Alternating Adaptive Beamforming System Based on the APL/SR-LMS Algorithms
title_sort alternating adaptive beamforming system based on the apl/sr-lms algorithms
publisher FIUBA
publishDate 2022
url https://elektron.fi.uba.ar/elektron/article/view/140
https://repositoriouba.sisbi.uba.ar/gsdl/cgi-bin/library.cgi?a=d&c=elektron&d=140_oai
work_keys_str_mv AT delangelruizjesusroberto alternatingadaptivebeamformingsystembasedontheaplsrlmsalgorithms
AT rosalesxochitlmaya alternatingadaptivebeamformingsystembasedontheaplsrlmsalgorithms
AT avalosjuangerardo alternatingadaptivebeamformingsystembasedontheaplsrlmsalgorithms
AT trejovillanuevacarlosalfonso alternatingadaptivebeamformingsystembasedontheaplsrlmsalgorithms
AT sanchezriveragiovanny alternatingadaptivebeamformingsystembasedontheaplsrlmsalgorithms
AT delangelruizjesusroberto estructuraalternanteparasistemasdebeamformingadaptativobasadaenlosalgoritmosaplsrlms
AT rosalesxochitlmaya estructuraalternanteparasistemasdebeamformingadaptativobasadaenlosalgoritmosaplsrlms
AT avalosjuangerardo estructuraalternanteparasistemasdebeamformingadaptativobasadaenlosalgoritmosaplsrlms
AT trejovillanuevacarlosalfonso estructuraalternanteparasistemasdebeamformingadaptativobasadaenlosalgoritmosaplsrlms
AT sanchezriveragiovanny estructuraalternanteparasistemasdebeamformingadaptativobasadaenlosalgoritmosaplsrlms
_version_ 1857042982590480384