Iterative DFT-based Channel Estimation for MIMO-OFDM Systems
In Multiple-Input Multiple-Output(MIMO) Orthogonal Frequency Division Multiplexing (OFDM) systems, the conventional channel estimation techniques using comb-type preambles and interpolation between pilot subcarriers give relatively large mean square errors (MSEs) at the edge subcarriers. Furthermore, the spacing between pilot subcarriers in the frequency domain has to be close enough according to sampling theorem. To solve these problems, an DFT-based channel estimation using phase-shifted preambles in the frequency domain is proposed in this paper. At the receiver, the channel impulse responses (CIRs) of different channels can be easily distinguished in the time domain instead of in the frequency domain.Furthermore,the complete channel frequency responses (CFRs) including virtual subcarrier positions can be estimated by iterative method.Simulation results show that the proposed algorithm outperforms the conventional Linear Minimum Mean Square Error(LMMSE) algorithm using comb-type preamble.
Kan Zheng Jian Su Wenbo Wang
Wireless Signal Processing Lab. Beijing University of Posts & Telecomms,Beijing, China
国际会议
2006 International Conference on Communications,Circuits and Systems(第四届国际通信、电路与系统学术会议)
广西桂林
英文
1081-1085
2006-06-25（万方平台首次上网日期，不代表论文的发表时间）