Algoritmos LMS de filtrado adaptativo para cancelación de eco acústico en sistemas de telecomunicaciones

Fabián Jiménez López; Juan Mauricio Salamanca

doi:10.24054/rcta.v1i23.1876

Autores/as

Fabián Jiménez López Universidad Pedagógica y Tecnológica de Colombia
Juan Mauricio Salamanca Universidad Pedagógica y Tecnológica de Colombia

DOI:

https://doi.org/10.24054/rcta.v1i23.1876

Palabras clave:

Cancelador de eco acústico, lgoritmo de mínimos cuadrados promediados LMS, filtros adaptables

Resumen

Este trabajo se centra en el estudio y la comparación de las características de modelado, simulación y desempeño de filtros adaptativos LMS utilizados para aplicaciones de cancelación de eco. En ese sentido, tres algoritmos de filtrado adaptativo convencionales se revisan, el algoritmo de Mínimos Cuadrados Promediados Convencional (LMS), el algoritmo LMS Normalizado (NLMS) y el algoritmo LMS signado (SLMS). Por último, la comparación entre los algoritmos se evaluó mediante índices de desempeño tales como respuesta temporal, velocidad de convergencia y análisis espectral ERLE.

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