TSK Fuzzy Approach to Channel Estimation for MIMO-OFDM Systems
This paper proposes a Takagi-Sugeno-Kang (TSK) fuzzy approach to channel estimation for multiple-input multiple-output orthogonal frequency division multiplexing systems. The information of dispersive fading channel is described by using the TSK fuzzy model, which is updated by using the decision fe...
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Veröffentlicht in: | IEEE signal processing letters 2007-06, Vol.14 (6), p.381-384 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | This paper proposes a Takagi-Sugeno-Kang (TSK) fuzzy approach to channel estimation for multiple-input multiple-output orthogonal frequency division multiplexing systems. The information of dispersive fading channel is described by using the TSK fuzzy model, which is updated by using the decision feedback symbol or the scattered pilot symbol. Space-time block coding is used to get the diversity gain. Computer simulations show that the proposed algorithm has the same word error rate of the minimum mean-square-error (MMSE) receiver. However, the proposed algorithm has a lower computational burden as the computation of the inverse matrix required by the MMSE receiver is not needed |
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ISSN: | 1070-9908 1558-2361 |
DOI: | 10.1109/LSP.2006.887847 |