Please use this identifier to cite or link to this item: https://doi.org/10.1109/TWC.2006.04897
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dc.titleA joint blind timing and frequency offset estimator for ofdm systems over frequency selective fading channels
dc.contributor.authorMo, R.
dc.contributor.authorChew, Y.H.
dc.contributor.authorTjhung, T.T.
dc.contributor.authorKo, C.C.
dc.date.accessioned2014-06-16T09:29:32Z
dc.date.available2014-06-16T09:29:32Z
dc.date.issued2006-09
dc.identifier.citationMo, R., Chew, Y.H., Tjhung, T.T., Ko, C.C. (2006-09). A joint blind timing and frequency offset estimator for ofdm systems over frequency selective fading channels. IEEE Transactions on Wireless Communications 5 (9) : 2604-2614. ScholarBank@NUS Repository. https://doi.org/10.1109/TWC.2006.04897
dc.identifier.issn15361276
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/54288
dc.description.abstractIn this paper, a joint symbol timing and frequencyoffset estimator based on the maximum likelihood (ML) criterion, is derived for OFDM systems over frequency selective fading channels. We use the linear minimum mean square estimation technique (LMMSE) to estimate the nuisance parameters such as transmitted signals and fading gains, and arrive at an algorithm to jointly estimate symbol timing and frequency offset. Simulation results show that our proposed symbol timing estimator performs better than the estimator reported by van de Beek et al [4], while our proposed frequency offset estimator achieves a lower MSE at higher SNR (≥ 15dB). Simulation results also show that our proposed symbol timing and frequency offset estimator has better MSE performance than the cyclostationarity-based estimator studied in [2] at higher SNR (for example 15dB). However, in terms of probability of correct timing synchronization and MSE, our symbol timing estimator achieves roughly the same performance as the estimator by Lee et al [5], although a different approach is used in our estimator. Our proposed estimator is next modified to two practical ones independent of SNR, furthermore, one of which needs only the knowledge of the maximum delay spread to perform estimation. We also extend our proposed estimator to applications where multiple OFDM symbols can be observed to perform synchronization. © 2006 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/TWC.2006.04897
dc.sourceScopus
dc.subjectConditional maximum likelihood
dc.subjectFrequency selective fading channel
dc.subjectLinear minimum mean square estimation
dc.subjectOFDM
dc.subjectSynchronization
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/TWC.2006.04897
dc.description.sourcetitleIEEE Transactions on Wireless Communications
dc.description.volume5
dc.description.issue9
dc.description.page2604-2614
dc.identifier.isiut000241050600038
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