Title :
Subspace-Based Iterative Semiblind Channel Estimation for MIMO-OFDM Considering Residual Error
Author :
Kim, Jin-Goog ; Lim, Jong-Tae
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
Abstract :
A new approach to subspace-based channel estimation for multiple-input-multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems is proposed. The proposed method exploits both the receive diversity and the statistical property of the received signal based on the iterative algorithm. To reduce the effect of residual error affecting the accuracy of the noise subspace, a measure called the Hermitian angle is introduced. In addition, the forgetting factor is used to consider a time-varying channel.
Keywords :
MIMO communication; OFDM modulation; channel estimation; iterative methods; matrix algebra; Hermitian angle; MIMO-OFDM considering residual error; iterative algorithm; multiple-input-multiple-output system; orthogonal frequency-division multiplexing systems; receive diversity; residual error; subspace-based iterative semiblind channel estimation; time-varying channel; Hermitian angle; iterative algorithm; multiple-input–multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM); receive diversity; subspace-based method;
Journal_Title :
Vehicular Technology, IEEE Transactions on
DOI :
10.1109/TVT.2009.2020293
