2004
DOI: 10.1109/tsp.2004.826182
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Optimal insertion of pilot symbols for transmissions over time-varying flat fading channels

Abstract: Abstract-Two major training techniques for wireless channels are time-division multiplexed (TDM) training and superimposed training. For the TDM schemes with regular periodic placements (RPPs), the closed-form expression for the steady-state minimum mean square error (MMSE) of the channel estimate is obtained as a function of placement for Gauss-Markov flat fading channels. We then show that among all periodic placements, the single pilot RPP scheme (RPP-1) minimizes the maximum steady-state channel MMSE. For … Show more

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Cited by 191 publications
(159 citation statements)
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References 16 publications
(26 reference statements)
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“…RS are inserted periodically in the transmission [12] and the fraction thereof is denoted by α, i.e., one in every 1/α symbols is a reference while the rest are data (cf. Fig.…”
Section: Channel Modelmentioning
confidence: 99%
“…RS are inserted periodically in the transmission [12] and the fraction thereof is denoted by α, i.e., one in every 1/α symbols is a reference while the rest are data (cf. Fig.…”
Section: Channel Modelmentioning
confidence: 99%
“…One solution to this problem is time-divisionmultiplexed (TDM) pilot-assisted transmission (PAT) in which detection ambiguity is eliminated at the receiver. The term PAT refers to general transmission schemes that use pilot symbols to aid the process of channel estimation [5]. It is different from pilot symbol-assisted modulation (PSAM) [6] in that PSAM specifically refers to PAT with regular periodic placement of cluster size 1 (RPP-1) [5].…”
Section: Introductionmentioning
confidence: 99%
“…estimator to update its channel estimate while user data is transmitted in a separate parallel data channel. Superimposed PAT is considered in this letter because it outperforms the optimal TDM PAT scheme, the RPP-1 TDM PAT, in bit error rate (BER) and minimum mean square error (MMSE) for the majority of fading rates of practical importance [5].…”
Section: Introductionmentioning
confidence: 99%
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