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Adaptive low-rank channel estimation for multi-band OFDM ultra-wideband communications by Chia-Chang Hu; Shih-Chang Lee is a Computer Science article available to read on EtoBox.

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In this paper, an adaptive channel estimation scheme based on the reduced-rank (RR) Wiener filtering (WF) technique is proposed for multi-band (MB) orthogonal frequency division multiplexing (OFDM) ultra-wideband (UWB) communication systems in multipath fading channels. This RR-WF-based algorithm employs an adaptive fuzzy-inference-controlled (FIC) filter rank. Additionally, a comparative investigation into various channel estimation schemes is presented as well for MB-OFDM UWB communication systems. As a consequence, the FIC RR-WF channel estimation algorithm is capable of producing the bit-error-rate (BER) performance similar to that of the full-rank WF channel estimator and superior than those of other interpolation-based channel estimation schemes.

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Author

Chia-Chang Hu; Shih-Chang Lee

Publisher

Hindawi Limited; Springer (Biomed Central Ltd.); Cairo: Hindawi Publishing Corporation; Hindawi Publishing Corporation; Springer Science and Business Media LLC; Springer Open; Heidelberg: Springer (ISSN 1110-8657)

Published

2011

Language

EN

Field

Computer Science (Physical Sciences)