Optimal training signals and detection for OFDM under colored noise

Tran, NN; Tuan, HD; Nguyen, HH

Optimal training signals and detection for OFDM under colored noise

Tran, NN Tuan, HD

Nguyen, HH

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Publication Type:: Conference Proceeding
Citation:: IEEE Vehicular Technology Conference, 2007, pp. 1327 - 1331
Issue Date:: 2007-12-01

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Field	Value	Language
dc.contributor.author	Tran, NN	en_US
dc.contributor.author	Tuan, HD https://orcid.org/0000-0003-0292-6061	en_US
dc.contributor.author	Nguyen, HH	en_US
dc.date.issued	2007-12-01	en_US
dc.identifier.citation	IEEE Vehicular Technology Conference, 2007, pp. 1327 - 1331	en_US
dc.identifier.isbn	1424402646	en_US
dc.identifier.isbn	9781424402649	en_US
dc.identifier.issn	1550-2252	en_US
dc.identifier.uri	http://hdl.handle.net/10453/16430
dc.description.abstract	Based on convex programming, this paper presents the optimal training signal design for orthogonal frequency-division multiplexing (OFDM) under colored noise. An effective method for OFDM symbol detection with the use of precoding is also described. Both analytical and simulation results show that the proposed design and method can effectively estimate the channel and reliably detect the OFDM symbols. By working in the frequency domain rather than the time domain, the computation complexity of the proposed estimation algorithm is significantly reduced. © 2007 IEEE.	en_US
dc.relation.ispartof	IEEE Vehicular Technology Conference	en_US
dc.relation.isbasedon	10.1109/VETECF.2007.284	en_US
dc.title	Optimal training signals and detection for OFDM under colored noise	en_US
dc.type	Conference Proceeding
utslib.for	0902 Automotive Engineering	en_US
dc.location.activity	Baltimore, MD	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
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

Based on convex programming, this paper presents the optimal training signal design for orthogonal frequency-division multiplexing (OFDM) under colored noise. An effective method for OFDM symbol detection with the use of precoding is also described. Both analytical and simulation results show that the proposed design and method can effectively estimate the channel and reliably detect the OFDM symbols. By working in the frequency domain rather than the time domain, the computation complexity of the proposed estimation algorithm is significantly reduced. © 2007 IEEE.

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http://hdl.handle.net/10453/16430