@inproceedings{027fca15b8d3408fa81ec87a65cba345,
title = "Enhanced Accuracy of Self-Interference Cancellation in Underwater Acoustic Full-Duplex Communication",
abstract = "Estimates of both the self-interference (SI) and the remote transmission (RT) channels are required in underwater acoustic full-duplex (UWA-FD) communication. The former is used for SI cancellation and the latter is needed for equalizing the signal of interest. The idea of adaptive joint channel estimation provides a real-time estimate of both channels without degrading the spectrum efficiency of UWA-FD. In this method, the previously detected data symbols from the remote transmitter are taken as a reference for estimating the RT channel. Nevertheless, when the SI channel is significantly stronger than that of the RT one, even a slight inaccuracy in estimating the SI channel leads to large residuals after cancellation. In this paper, we use the recently proposed multi-layered recursive least squares (m-RLS) algorithm for joint channel estimation with enhanced accuracy in estimating the SI channel. The m-RLS estimator is composed of multiple layers, each of which employs an RLS to estimate and eliminate the remaining SI from the received signal. Simulation results show better SI cancellation achievements by using m-RLS compared to the RLS and the minimum mean square error (MMSE) estimators.",
keywords = "Full-duplex communication, SI cancellation, time-varying channels, underwater acoustic",
author = "Mohammad Towliat and Zheng Guo and Cimini, \{Leonard J.\} and Xia, \{Xiang Gen\} and Aijun Song",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 IEEE Military Communications Conference, MILCOM 2022 ; Conference date: 28-11-2022 Through 02-12-2022",
year = "2022",
doi = "10.1109/MILCOM55135.2022.10017822",
language = "English",
series = "Proceedings - IEEE Military Communications Conference MILCOM",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "781--786",
booktitle = "MILCOM 2022 - 2022 IEEE Military Communications Conference",
address = "United States",
}