Preamble-based channel estimation in single-relay networks using FBMC/OQAM

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作者
Christos Mavrokefalidis
Eleftherios Kofidis
Athanasios A Rontogiannis
Sergios Theodoridis
机构
[1] Patras University Campus,Computer Technology Institute and Press
[2] University of Piraeus, “Diophantus”
[3] National Observatory of Athens,Department of Statistics and Insurance Science
[4] University of Athens,IAASARS
关键词
Channel estimation; Filter bank-based multicarrier; Least squares; Offset quadrature amplitude modulation; Orthogonal frequency division multiplexing; Preamble; Relaying networks;
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摘要
Preamble-based channel estimation in filter bank-based multicarrier (FBMC) systems using offset quadrature amplitude modulation (OQAM) has been extensively studied in the last few years, due to the many advantages this modulation scheme can offer over cyclic prefix (CP)-based orthogonal frequency division multiplexing (OFDM) and in view of the interesting challenges posed on the channel estimator by the interference effect inherent in such an FBMC system. In particular, preambles of short duration and of both the block (full) and comb (sparse) types were designed so as to minimize the channel estimation mean squared error (MSE) subject to a given transmit energy. In the light of the important role that relay-based cooperative networks are expected to play in future wireless communication systems, it is of interest to consider FBMC/OQAM, and in particular questions associated to preamble-based channel estimation, in such a context as well. The goal of this paper is to address these problems and come up with optimal solutions that extend existing results in a single relay-based cooperative network. Both low and medium frequency selective channels are considered. In addition to optimal preamble and estimator design, the equalization/detection task is studied, shedding light to a relay-generated interference effect and proposing a simple way to come over it. The reported simulation results corroborate the analysis and reveal interesting behavior with respect to channel frequency selectivity and signal-to-noise ratio.
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