ICASSP 2018accepted0 citations
Widely Linear CLMS Based Cancelation of Nonlinear Self -Interference in Full-Duplex Direct-Conversion Transceivers
Zhe Li, Wenjiang Pei, Yili Xia, Kai Wang, Danilo P. Mandic
Abstract
An augmented nonlinear complex LMS (ANCLMS) algorithm is proposed to adaptively mitigate both the linear and nonlinear self-interference (SI) components in a full-duplex direct-conversion transceiver (DCT). A data prewhitening scheme, which exploits the known SI signal distributions, is also adopted to accelerate the convergence. Theoretical mean and mean square performance evaluations of the proposed SI canceller are performed and fully support the proposed approach. Computer simulations on wireless local area network (WLAN) standard compliant waveforms in practical full-duplex (FD) direct-conversion transceiver settings support the analysis.
BibTeX
@inproceedings{icassp2018_widelylinearclms,
title = {Widely Linear CLMS Based Cancelation of Nonlinear Self -Interference in Full-Duplex Direct-Conversion Transceivers},
author = {Zhe Li and Wenjiang Pei and Yili Xia and Kai Wang and Danilo P. Mandic},
booktitle = {ICASSP 2018},
year = {2018}
}