Fast semi-blind channel estimation for MIMO-OFDM systems with virtual carriers

Yu, Jung-Lang; Kuo, Wan-Ru

doi:10.1109/iccchina.2012.6356907

Cited by 3 publications

(2 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To improve the convergence rate of subspace channel estimation, the block matrix scheme (BMS) utilizing block Toeplitz structure of channel matrix has been proposed for SIMO CP-free OFDM systems [28] and ZP-OFDM systems [29], respectively. Recently, Yu and Kuo presented in [30] the BMS-based subspace channel estimation for VC-based MIMO OFDM systems. Extending the paper in [30], blind and semi-blind subspace channel estimations are examined for MIMO CP-OFDM systems with virtual carriers in this paper.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Fast Convergence on Blind and Semi-Blind Channel Estimation for MIMO–OFDM Systems

Zhang

Kuo

2014

Circuits Syst Signal Process

Self Cite

View full text Add to dashboard Cite

In this paper, blind and semi-blind subspace channel estimations with fast convergence rate are proposed for multiple-input multiple-output orthogonal frequency division multiplexing (OFDM) systems in the presence of virtual carriers. The subspace method has a main drawback of slow convergence rate when deriving the noise subspaces from the second-order statistics of received signals. This phenomenon is especially evident when the size of received signals is large. Inspired by this fact, we present a block matrix scheme (BMS) to generate a group of sub-vectors from each OFDM symbol when virtual carriers are used. The number of equivalent signals is increased and therefore, the convergence rate of channel estimation is enhanced. The semi-blind method is also investigated by incorporating subspace technology with least square scheme. The identifiability of the BMS-based channel estimation is analyzed to derive the applicable range of the BMS size. The computational complexity of the proposed channel estimation is calculated at the end. Computer simulations show that the proposed blind and semi-blind methods converge very well in channel estimation and equalization.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Recently, Yu and Kuo presented in [30] the BMS-based subspace channel estimation for VC-based MIMO OFDM systems. Extending the paper in [30], blind and semi-blind subspace channel estimations are examined for MIMO CP-OFDM systems with virtual carriers in this paper. Due to the insertion of VCs, the BMS needs to be properly modified.…”

Section: Introductionmentioning

confidence: 99%