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On the Optimality of Data-Aided Coarse Timing With Dirty Templates

contributor authorWenshu Zhang
contributor authorLiuqing Yang
contributor authorXiang Cheng
contributor authorWei Zang
date accessioned2020-03-12T18:31:57Z
date available2020-03-12T18:31:57Z
date issued2014
identifier issn0018-9545
identifier other6655977.pdf
identifier urihttps://libsearch.um.ac.ir:443/fum/handle/fum/961622?show=full
formatgeneral
languageEnglish
publisherIEEE
titleOn the Optimality of Data-Aided Coarse Timing With Dirty Templates
typeJournal Paper
contenttypeMetadata Only
identifier padid7994446
subject keywordsmaximum likelihood estimation
subject keywordssynchronisation
subject keywordstiming
subject keywordsultra wideband communication
subject keywordsML algorithm
subject keywordsML timing algorithm
subject keywordsML timing estimator
subject keywordsTDT algorithm
subject keywordsTDT optimality
subject keywordsUWB systems
subject keywordsdata-aided coarse timing with dirty templates
subject keywordsmaximum-likelihood timing algorithm
subject keywordsmultipath channels
subject keywordsoptimum training sequence
subject keywordsrelaxed operation conditions
subject keywordstiming synchronization
subject keywordsultrawideband systems
subject keywordsunknown time hopping
subject keywordsCorrelation
subject keywordsLinear programming
subject keywordsMaximum likelihood estimation
subject keywordsMultipath channels
identifier doi10.1109/TVT.2013.2288949
journal titleVehicular Technology, IEEE Transactions on
journal volume63
journal issue4
filesize1482758
citations0


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