Title :
The MMSE Channel Estimation Based on DFT for OFDM System
Author :
Ma, Jie ; Yu, Hua ; Liu, Shouyin
Author_Institution :
Dept. of Electron. & Inf. Eng., Huazhong Normal Univ., Wuhan, China
Abstract :
The minimum mean-square error (MMSE) channel estimation has well performance but higher complexity than least-square (LS) channel estimation, specially it requires the channel statistical properties including the channel autocorrelation matrix and the noise variance. However, it is difficult to obtain the channel statistical properties in practice. In this paper, through the DFT based estimator, in time domain, the noise variance can be estimated, and the channel autocorrelation matrix is also obtained by using the noise suppressed channel impulse response. Then the MMSE channel estimation for OFDM system is realized. Simulation results demonstrate that the performance is better than the DFT based estimator and closed to the ideal MMSE estimator.
Keywords :
OFDM modulation; channel estimation; discrete Fourier transforms; least mean squares methods; DFT based estimator; MMSE channel estimation; channel statistical properties; least-square channel estimation; minimum mean-square error channel estimation; noise suppressed channel impulse response; Autocorrelation; Blind equalizers; Channel estimation; Covariance matrix; Discrete Fourier transforms; Frequency division multiplexing; Matrix decomposition; OFDM; Wireless LAN; Wireless communication;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-3692-7
Electronic_ISBN :
978-1-4244-3693-4
DOI :
10.1109/WICOM.2009.5305570
