Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Joint estimation of channel and oscillator phase noise in MIMO systems

Simple item page
dc.contributor.authorMehrpouyan, Hani
dc.contributor.authorNasir, Ali
dc.contributor.authorBlostein, Steven
dc.contributor.authorEriksson, Thomas
dc.contributor.authorKaragiannidis, George K
dc.contributor.authorSvensson, Tommy
dc.date.accessioned2015-12-10T23:27:13Z
dc.date.issued2012
dc.date.updated2016-02-24T08:49:10Z
dc.description.abstractOscillator phase noise limits the performance of high speed communication systems since it results in time varying channels and rotation of the signal constellation from symbol to symbol. In this paper, joint estimation of channel gains and Wiener phase n
dc.identifier.issn1053-587X
dc.identifier.urihttp://hdl.handle.net/1885/68124
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE Inc)
dc.sourceIEEE Transactions on Signal Processing
dc.subjectKeywords: Channel gains; Data symbols; Data-aided; Decision-directed; Estimation problem; Estimation process; High-speed communication systems; Joint estimation; Least Square; Lower bounds; Multi-input multi-output; Multi-input multi-output system; Multiparameters; Channel estimation; Cramér-Rao lower bound (CRLB); extended Kalman filter (EKF); multi-input multi-output (MIMO); weighted least squares (WLS); Wiener phase noise
dc.titleJoint estimation of channel and oscillator phase noise in MIMO systems
dc.typeJournal article
local.bibliographicCitation.issue9
local.bibliographicCitation.lastpage4807
local.bibliographicCitation.startpage4790
local.contributor.affiliationMehrpouyan, Hani, California State University
local.contributor.affiliationNasir, Ali, College of Engineering and Computer Science, ANU
local.contributor.affiliationBlostein, Steven, Queen's University
local.contributor.affiliationEriksson, Thomas, Chalmers University of Technology
local.contributor.affiliationKaragiannidis, George K, Aristotle University of Thessaloniki
local.contributor.affiliationSvensson, Tommy, Chalmers University of Technology
local.contributor.authoruidNasir, Ali, u4553350
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.identifier.absfor090609 - Signal Processing
local.identifier.absseo970109 - Expanding Knowledge in Engineering
local.identifier.ariespublicationf5625xPUB1626
local.identifier.citationvolume60
local.identifier.doi10.1109/TSP.2012.2202652
local.identifier.scopusID2-s2.0-84865255655
local.identifier.thomsonID000307790800022
local.type.statusPublished Version

Downloads

Original bundle

Now showing 1 - 1 of 1
Thumbnail Image
Name:
01_Mehrpouyan_Joint_estimation_of_channel_2012.pdf
Size:
3.93 MB
Format:
Adobe Portable Document Format
Download

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS