Title :
Time-Domain MMSE Channel Estimation Based on Subspace Tracking for OFDM Systems
Author :
Hou, Xiaolin ; Zhang, Zhan ; Kayama, Hidetoshi
Author_Institution :
Innovative Radio Transmission Lab, DoCoMo Beijing Commun. Lab. Co., Ltd
Abstract :
Channel state information (CSI) is critical for the performance of orthogonal frequency division multiplexing (OFDM) systems. In this paper, we propose time-domain minimum mean square error (MMSE) channel estimation based on subspace tracking for OFDM systems, which can increase the channel estimation accuracy as well as lower the computational complexity. Furthermore, it requires little prior channel statistical information and can track the time-varying wireless channel effectively. With proper training sequences design on transmitter antennas, it can be easily applied to multiple inputs multiple outputs (MIMO) OFDM systems. Computer simulations demonstrate its good performance
Keywords :
MIMO systems; OFDM modulation; channel estimation; computational complexity; least mean squares methods; mobile radio; time-domain analysis; time-varying channels; wireless channels; CSI; MIMO OFDM systems; channel state information; computational complexity; minimum mean square error channel estimation; multiple inputs multiple outputs systems; orthogonal frequency division multiplexing systems; subspace tracking; time-domain MMSE channel estimation; time-varying wireless channel; training sequences; Channel estimation; Channel state information; Computational complexity; Computer simulation; MIMO; Mean square error methods; OFDM; Time domain analysis; Transmitters; Transmitting antennas; MIMO; MMSE; OFDM; channel estimation; subspace tracking; time-domain;
Conference_Titel :
Vehicular Technology Conference, 2006. VTC 2006-Spring. IEEE 63rd
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-9391-0
Electronic_ISBN :
1550-2252
DOI :
10.1109/VETECS.2006.1683109