Maximum likelihood channel estimation for residual self-interference cancellation in full duplex relays

Xiaofeng Li; Cihan Tepedelenlioglu

doi:10.1109/ACSSC.2015.7421246

Maximum likelihood channel estimation for residual self-interference cancellation in full duplex relays

Xiaofeng Li, Cihan Tepedelenlioglu

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Scopus citations

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.

Original language	English (US)
Title of host publication	Conference Record - Asilomar Conference on Signals, Systems and Computers
Publisher	IEEE Computer Society
Pages	807-811
Number of pages	5
Volume	2016-February
ISBN (Print)	9781467385763
DOIs	https://doi.org/10.1109/ACSSC.2015.7421246
State	Published - Feb 26 2016
Event	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States Duration: Nov 8 2015 → Nov 11 2015

Other

Other	49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Country	United States
City	Pacific Grove
Period	11/8/15 → 11/11/15

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing

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Maximum likelihood channel estimation for residual self-interference cancellation in full duplex relays. / Li, Xiaofeng; Tepedelenlioglu, Cihan.

Conference Record - Asilomar Conference on Signals, Systems and Computers. Vol. 2016-February IEEE Computer Society, 2016. p. 807-811 7421246.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Li, X & Tepedelenlioglu, C 2016, Maximum likelihood channel estimation for residual self-interference cancellation in full duplex relays. in Conference Record - Asilomar Conference on Signals, Systems and Computers. vol. 2016-February, 7421246, IEEE Computer Society, pp. 807-811, 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015, Pacific Grove, United States, 11/8/15. https://doi.org/10.1109/ACSSC.2015.7421246

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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.",

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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.

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Maximum likelihood channel estimation for residual self-interference cancellation in full duplex relays

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