TY - GEN
T1 - Maximum likelihood channel estimation for residual self-interference cancellation in full duplex relays
AU - Li, Xiaofeng
AU - Tepedelenlioglu, Cihan
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2016/2/26
Y1 - 2016/2/26
N2 - Maximum likelihood channel estimation for a full duplex relay is proposed, which estimates the residual self-interference (RSI) channel as well as the end-to-end channel of the relay system, aiming to cancel the RSI at the destination. The log-likelihood function is maximized through a quasi-Newton method, where alternative optimization and Euclidean projection are applied. The initial values of the quasi-Newton method are obtained from a minimum mean square error (MMSE) estimator to avoid local minima and increase the convergence speed. The Cramer-Rao bounds are derived to evaluate the accuracy of the estimates.
AB - Maximum likelihood channel estimation for a full duplex relay is proposed, which estimates the residual self-interference (RSI) channel as well as the end-to-end channel of the relay system, aiming to cancel the RSI at the destination. The log-likelihood function is maximized through a quasi-Newton method, where alternative optimization and Euclidean projection are applied. The initial values of the quasi-Newton method are obtained from a minimum mean square error (MMSE) estimator to avoid local minima and increase the convergence speed. The Cramer-Rao bounds are derived to evaluate the accuracy of the estimates.
UR - http://www.scopus.com/inward/record.url?scp=84969790697&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84969790697&partnerID=8YFLogxK
U2 - 10.1109/ACSSC.2015.7421246
DO - 10.1109/ACSSC.2015.7421246
M3 - Conference contribution
AN - SCOPUS:84969790697
T3 - Conference Record - Asilomar Conference on Signals, Systems and Computers
SP - 807
EP - 811
BT - Conference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
A2 - Matthews, Michael B.
PB - IEEE Computer Society
T2 - 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Y2 - 8 November 2015 through 11 November 2015
ER -