Closed-form MSE performance for phase estimation from Gaussian reference signals

Huang, X; Guo, YJ

Closed-form MSE performance for phase estimation from Gaussian reference signals

Huang, X

Guo, YJ

Permalink

Publication Type:: Conference Proceeding
Citation:: 11th International Symposium on Communications and Information Technologies, ISCIT 2011, 2011, pp. 154 - 158
Issue Date:: 2011-12-26

Closed Access

	Filename	Description	Size
	06089720.pdf	Published version	416.87 kB	Adobe PDF	View/Open

Copyright Clearance Process

Recently Added
In Progress
Closed Access

This item is closed access and not available.

Full metadata record

Field	Value	Language
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	2011-12-26	en_US
dc.identifier.citation	11th International Symposium on Communications and Information Technologies, ISCIT 2011, 2011, pp. 154 - 158	en_US
dc.identifier.isbn	9781457712944	en_US
dc.identifier.uri	http://hdl.handle.net/10453/119460
dc.description.abstract	In many communications and signal processing applications, phase information carried on Gaussian distributed reference signals is often required for various purposes, such as the carrier frequency offset estimation in orthogonal frequency division multiplexing (OFDM) systems. The performance of phase estimation is usually measured by the mean square error (MSE) which is often infeasible to obtain. Instead, the Cramér-Rao Bound (CRB) and modified Cramér-Rao Bound (MCRB) are used to give lower MSE bounds for the phase estimation. This paper presents closed-form MSE approximations for estimating phase information from Gaussian reference signals, which provide better indications of the MSE performance than the MCRB. It is also shown that the MCRB is only attainable at high signal-to-noise ratios and with large number of observed signal samples. Simulated and analytical results are compared to demonstrate the accuracy and efficiency of the derived MSE formulas. © 2011 IEEE.	en_US
dc.relation.ispartof	11th International Symposium on Communications and Information Technologies, ISCIT 2011	en_US
dc.relation.isbasedon	10.1109/ISCIT.2011.6089720	en_US
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Closed-form MSE performance for phase estimation from Gaussian reference signals	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:

In many communications and signal processing applications, phase information carried on Gaussian distributed reference signals is often required for various purposes, such as the carrier frequency offset estimation in orthogonal frequency division multiplexing (OFDM) systems. The performance of phase estimation is usually measured by the mean square error (MSE) which is often infeasible to obtain. Instead, the Cramér-Rao Bound (CRB) and modified Cramér-Rao Bound (MCRB) are used to give lower MSE bounds for the phase estimation. This paper presents closed-form MSE approximations for estimating phase information from Gaussian reference signals, which provide better indications of the MSE performance than the MCRB. It is also shown that the MCRB is only attainable at high signal-to-noise ratios and with large number of observed signal samples. Simulated and analytical results are compared to demonstrate the accuracy and efficiency of the derived MSE formulas. © 2011 IEEE.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/119460