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/Territory	United States
City	Pacific Grove
Period	11/8/15 → 11/11/15

ASJC Scopus subject areas

Computer Networks and Communications
Signal Processing

Access to Document

10.1109/ACSSC.2015.7421246

Cite this

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

@inproceedings{da75a53d3f46489aa2038acaf1b9bd05,

title = "Maximum likelihood channel estimation for residual self-interference cancellation in full duplex relays",

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.",

author = "Xiaofeng Li and Cihan Tepedelenlioglu",

year = "2016",

month = feb,

day = "26",

doi = "10.1109/ACSSC.2015.7421246",

language = "English (US)",

isbn = "9781467385763",

volume = "2016-February",

pages = "807--811",

booktitle = "Conference Record - Asilomar Conference on Signals, Systems and Computers",

publisher = "IEEE Computer Society",

note = "49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 ; Conference date: 08-11-2015 Through 11-11-2015",

}

TY - GEN

T1 - Maximum likelihood channel estimation for residual self-interference cancellation in full duplex relays

AU - Li, Xiaofeng

AU - Tepedelenlioglu, Cihan

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

SN - 9781467385763

VL - 2016-February

SP - 807

EP - 811

BT - Conference Record - Asilomar Conference on Signals, Systems and Computers

PB - IEEE Computer Society

T2 - 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015

Y2 - 8 November 2015 through 11 November 2015

ER -

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

Abstract

Other

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this