Distributed sparse channel estimation for OFDM systems with high mobility

Cheng, P; Chen, Z; Gui, L; Guo, YJ; Tao, M; Rui, Y

Distributed sparse channel estimation for OFDM systems with high mobility

Cheng, P Chen, Z Gui, L Guo, YJ

Tao, M Rui, Y

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Publication Type:: Conference Proceeding
Citation:: IEEE International Conference on Communications, 2013, pp. 4951 - 4956
Issue Date:: 2013-01-01

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Field	Value	Language
dc.contributor.author	Cheng, P	en_US
dc.contributor.author	Chen, Z	en_US
dc.contributor.author	Gui, L	en_US
dc.contributor.author	Guo, YJ https://orcid.org/0000-0001-6008-9682	en_US
dc.contributor.author	Tao, M	en_US
dc.contributor.author	Rui, Y	en_US
dc.date.issued	2013-01-01	en_US
dc.identifier.citation	IEEE International Conference on Communications, 2013, pp. 4951 - 4956	en_US
dc.identifier.isbn	9781467331227	en_US
dc.identifier.issn	1550-3607	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120141
dc.description.abstract	Channel estimation for an orthogonal frequency-division multiplexing (OFDM) broadband system operating with high mobility is very challenging. This is mainly due to the significant Doppler spread, inherent in a time-frequency doubly-selective (DS) channel. Consequently, a large number of channel coefficients must be estimated, forcing the need for allocating a large number of pilot subcarriers. To address this problem, we propose a novel channel estimation method based on basis expansion models (BEMs) and distributed compressive sensing (DCS) theory. To be specific, we develop a two-stage sparse BEM coefficients estimation method, which can effectively combat the Doppler spread and enable accurate channel estimation with dramatically reduced number of pilot subcarriers. The numerical results reveal that, in a typical LTE system configuration, the proposed scheme can increase the spectral efficiency by 40% and achieve a 6 dB gain in terms of normalized mean square error (NMSE), both compared to the conventional scheme. © 2013 IEEE.	en_US
dc.relation.ispartof	IEEE International Conference on Communications	en_US
dc.relation.isbasedon	10.1109/ICC.2013.6655363	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Distributed sparse channel estimation for OFDM systems with high mobility	en_US
dc.type	Conference Proceeding
utslib.for	0906 Electrical and Electronic Engineering	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	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

Channel estimation for an orthogonal frequency-division multiplexing (OFDM) broadband system operating with high mobility is very challenging. This is mainly due to the significant Doppler spread, inherent in a time-frequency doubly-selective (DS) channel. Consequently, a large number of channel coefficients must be estimated, forcing the need for allocating a large number of pilot subcarriers. To address this problem, we propose a novel channel estimation method based on basis expansion models (BEMs) and distributed compressive sensing (DCS) theory. To be specific, we develop a two-stage sparse BEM coefficients estimation method, which can effectively combat the Doppler spread and enable accurate channel estimation with dramatically reduced number of pilot subcarriers. The numerical results reveal that, in a typical LTE system configuration, the proposed scheme can increase the spectral efficiency by 40% and achieve a 6 dB gain in terms of normalized mean square error (NMSE), both compared to the conventional scheme. © 2013 IEEE.

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http://hdl.handle.net/10453/120141