Impact of sampling rate on PSD of OFDM signal with SSOP sidelobe suppression

Cantoni, A; Zhang, J; Huang, X; Guo, YJ

Impact of sampling rate on PSD of OFDM signal with SSOP sidelobe suppression

Cantoni, A Zhang, J

Huang, X

Guo, YJ

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Publication Type:: Conference Proceeding
Citation:: IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, 2013, pp. 629 - 633
Issue Date:: 2013-10-22

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Field	Value	Language
dc.contributor.author	Cantoni, A	en_US
dc.contributor.author	Zhang, J https://orcid.org/0000-0002-6102-3762	en_US
dc.contributor.author	Huang, X https://orcid.org/0000-0001-6869-5732	en_US
dc.contributor.author	Guo, YJ https://orcid.org/0000-0001-6008-9682	en_US
dc.date.issued	2013-10-22	en_US
dc.identifier.citation	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC, 2013, pp. 629 - 633	en_US
dc.identifier.isbn	9781467355773	en_US
dc.identifier.uri	http://hdl.handle.net/10453/120081
dc.description.abstract	We recently proposed an efficient 'sidelobe suppression with orthogonal projection' (SSOP) scheme for reduction of out-of-band emission of OFDM signals. The SSOP scheme uses a preceding matrix to generate zeros at prescribed frequencies in the sidelobe region and it is numerically observed that its suppression effect is affected by the sampling rate. In this paper, we analytically characterize this effect by considering analog and digital implementations of the SSOP scheme, which correspond to a zero sampling rate and an IFFT implementation with non-zero sampling rates, respectively. Both implementations are modeled and analytical expressions for the corresponding spectra are developed. It is shown that the analytical results match the simulation results very well and the suppression performance is generally proportional to the sampling rate. The analog SSOP-OFDM has true zeros at prescribed frequencies and thus results in significant reduction of out-of-band emissions. The digital implementation does not result in true zeros in the spectrum but nevertheless results in significant sidelobe reduction if the frequency resolution associated with the IFFT is sufficiently high. © 2013 IEEE.	en_US
dc.relation.ispartof	IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC	en_US
dc.relation.isbasedon	10.1109/SPAWC.2013.6612126	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Impact of sampling rate on PSD of OFDM signal with SSOP sidelobe suppression	en_US
dc.type	Conference Proceeding
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	closed_access	*
pubs.publication-status	Published	en_US

Abstract:

We recently proposed an efficient 'sidelobe suppression with orthogonal projection' (SSOP) scheme for reduction of out-of-band emission of OFDM signals. The SSOP scheme uses a preceding matrix to generate zeros at prescribed frequencies in the sidelobe region and it is numerically observed that its suppression effect is affected by the sampling rate. In this paper, we analytically characterize this effect by considering analog and digital implementations of the SSOP scheme, which correspond to a zero sampling rate and an IFFT implementation with non-zero sampling rates, respectively. Both implementations are modeled and analytical expressions for the corresponding spectra are developed. It is shown that the analytical results match the simulation results very well and the suppression performance is generally proportional to the sampling rate. The analog SSOP-OFDM has true zeros at prescribed frequencies and thus results in significant reduction of out-of-band emissions. The digital implementation does not result in true zeros in the spectrum but nevertheless results in significant sidelobe reduction if the frequency resolution associated with the IFFT is sufficiently high. © 2013 IEEE.

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