@inproceedings{436810e1c3224797a8af92e1f900f564,
title = "Self-interference cancellation with nonlinear distortion suppression for full-duplex systems",
abstract = "In full-duplex systems, due to the strong self-interference signal, system nonlinearities become a significant limiting factor that bounds the possible cancellable self-interference power. In this paper, a self-interference cancellation scheme for full-duplex orthogonal frequency division multiplexing systems is proposed. The proposed scheme increases the amount of cancellable self-interference power by suppressing the distortion caused by the transmitter and receiver nonlinearities. An iterative technique is used to jointly estimate the self-interference channel and the nonlinearity coefficients required to suppress the distortion signal. The performance is numerically investigated showing that the proposed scheme achieves a performance that is less than 0.5dB off the performance of a linear full-duplex system.",
author = "Elsayed Ahmed and Eltawil, {Ahmed M.} and Ashutosh Sabharwal",
year = "2013",
doi = "10.1109/ACSSC.2013.6810483",
language = "English (US)",
isbn = "9781479923908",
series = "Conference Record - Asilomar Conference on Signals, Systems and Computers",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1199--1203",
booktitle = "Conference Record of the 47th Asilomar Conference on Signals, Systems and Computers",
address = "United States",
note = "2013 47th Asilomar Conference on Signals, Systems and Computers ; Conference date: 03-11-2013 Through 06-11-2013",
}