DocumentCode :
3755793
Title :
Maximum likelihood channel estimation for residual self-interference cancellation in full duplex relays
Author :
Xiaofeng Li;Cihan Tepedelenlioglu
Author_Institution :
School of Electrical, Computer, and Energy Engineering, Arizona State University, USA
fYear :
2015
Firstpage :
807
Lastpage :
811
Abstract :
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.
Keywords :
"Relays","Channel estimation","Maximum likelihood estimation","Training","Interference","Convergence","Linear programming"
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers, 2015 49th Asilomar Conference on
Electronic_ISBN :
1058-6393
Type :
conf
DOI :
10.1109/ACSSC.2015.7421246
Filename :
7421246
Link To Document :
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