Title :
Self-interference cancellation with phase-noise suppression in full-duplex systems
Author :
Ruozhu Li;Ahmed Masmoudi;Tho Le-Ngoc
Author_Institution :
Department of Electrical & Computer Engineering, McGill University, Montreal, QC, Canada
Abstract :
In this paper, we focus on the self-interference (SI) cancellation in the presence of phase-noise in full-duplex systems. Reducing the SI needs the estimation of the SI channel and the phase-noise. In particular, the time-varying phase-noise process is approximated by an expansion over a basis. As the unknown intended signal received from the other transceiver can limit the estimation performance if considered as additive noise, we incorporate it in the joint estimation of the SI channel, the intended channel and the phase-noise process. The proposed algorithm maximizes the likelihood function by fully exploiting the known transmitted data and the second-order statistic of the intended signal.
Keywords :
"Silicon","Channel estimation","Maximum likelihood estimation","OFDM","Land mobile radio","Transceivers"
Conference_Titel :
Personal, Indoor, and Mobile Radio Communications (PIMRC), 2015 IEEE 26th Annual International Symposium on
DOI :
10.1109/PIMRC.2015.7343306