Aplicación de la teoría de sensado compresivo para la estimación de canal en sistemas de transmisión MIMO usando radio definido por software

Abstract

Application of Compressive Sensing in a MIMO-OFDM system for channel reconstruction with 5 and 10 pilot subcarriers is compared with an estimator with interpolation reconstruction with 25 pilot subcarriers. It is obtained that there is a more efficient use of the spectrum between 20% and 26% although with a higher BeR.