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- W2157269574 abstract "We consider the problem of data-aided frequency-offset and channel estimation in the case of frequency-selective channels. More precisely, we address the problem of training sequence selection with the goal of providing accurate frequency offset and channel estimates. Toward this end, we consider the Crame/spl acute/r-Rao bound (CRB), for which we derive a closed-form expression. Since the CRB is a complicated function of the training sequence and the channel parameters, a much simpler asymptotic CRB is derived. Two criteria for training sequence design based on the asymptotic CRB are proposed, and a minmax approach is presented to optimize them. Our main contribution is to show that a white sequence is minmax optimal for both criteria considered, and that the quest for a generally optimal sequence is hardly motivated." @default.
- W2157269574 created "2016-06-24" @default.
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- W2157269574 date "2003-11-01" @default.
- W2157269574 modified "2023-09-25" @default.
- W2157269574 title "Training sequence design for frequency offset and frequency-selective channel estimation" @default.
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- W2157269574 doi "https://doi.org/10.1109/tcomm.2003.819199" @default.
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