NDLI: A Maximum-Likelihood Channel Estimator in MIMO Full-Duplex Systems

Content Provider	IEEE Xplore Digital Library
Author	Masmoudi, A. Tho Le-Ngoc
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, QC, Canada (Masmoudi, A.; Tho Le-Ngoc)
Abstract	This paper focuses on the channel estimation for residual self-interference cancellation at the baseband in a full-duplex transceiver. In particular, we analyze and develop a semi-blind maximum-likelihood algorithm to jointly estimate both the residual self-interference channel and intended signal channel based on the perfectly known transmitted symbols from its own transmitter, and both known pilot and unknown data symbols sent from the other intended transmitter. We first derive a closed-form solution for the channel estimate, and subsequently develop an iterative procedure to improve the estimation performance of the closed- form approach at high SNR. The iterative algorithm is guaranteed to converge to the ML solution when properly initiated. Simulation results show that, with a modest complexity, the proposed algorithm can offer good channel estimation MSE that follows well the Cramer-Rao bound (CRB), and good cancellation performance for a large SNR range.
Starting Page	1
Ending Page	5
File Size	189494
Page Count	5
File Format	PDF
ISBN	9781479944491
DOI	10.1109/VTCFall.2014.6965819
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-09-14
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Channel estimation Maximum likelihood estimation Signal to noise ratio Radio frequency Receiving antennas Iterative methods Covariance matrices
Content Type	Text
Resource Type	Article

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