Title :
TSK Fuzzy Approach to Channel Estimation for MIMO-OFDM Systems
Author :
Zhang, Jian ; He, Zhi-Ming ; Wang, Xue-gang ; Huang, Yuan-Yuan
Author_Institution :
Coll. of Electron. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu
fDate :
6/1/2007 12:00:00 AM
Abstract :
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
Keywords :
MIMO communication; OFDM modulation; block codes; channel estimation; diversity reception; fading channels; fuzzy systems; least mean squares methods; matrix inversion; radio receivers; space-time codes; MIMO-OFDM system; MMSE receiver; TSK fuzzy approach; channel estimation; decision feedback symbol; dispersive fading channel; diversity gain; inverse matrix; minimum mean-square-error; multiple-input multiple-output system; orthogonal frequency division multiplexing system; pilot symbol scattering; space-time block coding; word error rate; Block codes; Channel estimation; Dispersion; Fading; Feedback; Fuzzy systems; MIMO; OFDM; Scattering; Takagi-Sugeno-Kang model; Fading channels; fuzzy systems; multiple-input multiple-output systems; orthogonal transforms;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2006.887847
