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Title: A joint blind timing and frequency offset estimator for ofdm systems over frequency selective fading channels
Authors: Mo, R. 
Chew, Y.H.
Tjhung, T.T.
Ko, C.C.
Keywords: Conditional maximum likelihood
Frequency selective fading channel
Linear minimum mean square estimation
Issue Date: Sep-2006
Citation: Mo, 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.
Abstract: In 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.
Source Title: IEEE Transactions on Wireless Communications
ISSN: 15361276
DOI: 10.1109/TWC.2006.04897
Appears in Collections:Staff Publications

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