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

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publicationConference Record - Asilomar Conference on Signals, Systems and Computers
PublisherIEEE Computer Society
Pages807-811
Number of pages5
Volume2016-February
ISBN (Print)9781467385763
DOIs
StatePublished - Feb 26 2016
Event49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
Duration: Nov 8 2015Nov 11 2015

Other

Other49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
CountryUnited States
CityPacific Grove
Period11/8/1511/11/15

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Signal Processing

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    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, pp. 807-811). [7421246] IEEE Computer Society. https://doi.org/10.1109/ACSSC.2015.7421246