Radio Frequency Self-Interference Cancellation with Analog Least Mean-Square Loop

Huang, X; Jay Guo, Y

Radio Frequency Self-Interference Cancellation with Analog Least Mean-Square Loop

Huang, X

Jay Guo, Y

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Publication Type:: Journal Article
Citation:: IEEE Transactions on Microwave Theory and Techniques, 2017, 65 (9), pp. 3336 - 3350
Issue Date:: 2017-09-01

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Field	Value	Language
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732	en_US
dc.contributor.author	Jay Guo, Y https://orcid.org/0000-0001-6008-9682	en_US
dc.date.issued	2017-09-01	en_US
dc.identifier.citation	IEEE Transactions on Microwave Theory and Techniques, 2017, 65 (9), pp. 3336 - 3350	en_US
dc.identifier.issn	0018-9480	en_US
dc.identifier.uri	http://hdl.handle.net/10453/121697
dc.description.abstract	© 1963-2012 IEEE. A multitap adaptive filter with analog least mean-square (ALMS) loop is proposed in this paper for effective and low complexity self-interference cancellation implemented as part of the radio frequency frontend in a full duplex transceiver. Comprehensive analyses of the ALMS loop's behaviors at both micro and macroscales are presented for a wireless communication system with single carrier signaling. It is revealed that there is always an irreducible residual interference due to the cyclostationary property of the transmitted signal. The interference suppression ratio (ISR) lower bound is derived accordingly, which can be used as a design rule for determining the ALMS loop parameter. Stationary analysis shows that the convergence speed and achievable ISR of the ALMS loop are determined by the loop gain and the autocorrelation function of the transmitted signal. The interference channel modeling error with the adaptive filter also accounts for part of the residual interference power. These theoretical findings are verified by simulation and experimental results.	en_US
dc.relation	http://purl.org/au-research/grants/arc/DP160101693
dc.relation.ispartof	IEEE Transactions on Microwave Theory and Techniques	en_US
dc.relation.isbasedon	10.1109/TMTT.2017.2654218	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.subject.classification	Networking & Telecommunications	en_US
dc.title	Radio Frequency Self-Interference Cancellation with Analog Least Mean-Square Loop	en_US
dc.type	Journal Article
utslib.citation.volume	9	en_US
utslib.citation.volume	65	en_US
utslib.for	0906 Electrical and Electronic Engineering	en_US
utslib.for	1005 Communications Technologies	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
utslib.copyright.status	open_access	*
pubs.issue	9	en_US
pubs.publication-status	Published	en_US
pubs.volume	65	en_US

Abstract:

© 1963-2012 IEEE. A multitap adaptive filter with analog least mean-square (ALMS) loop is proposed in this paper for effective and low complexity self-interference cancellation implemented as part of the radio frequency frontend in a full duplex transceiver. Comprehensive analyses of the ALMS loop's behaviors at both micro and macroscales are presented for a wireless communication system with single carrier signaling. It is revealed that there is always an irreducible residual interference due to the cyclostationary property of the transmitted signal. The interference suppression ratio (ISR) lower bound is derived accordingly, which can be used as a design rule for determining the ALMS loop parameter. Stationary analysis shows that the convergence speed and achievable ISR of the ALMS loop are determined by the loop gain and the autocorrelation function of the transmitted signal. The interference channel modeling error with the adaptive filter also accounts for part of the residual interference power. These theoretical findings are verified by simulation and experimental results.

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http://hdl.handle.net/10453/121697