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We introduce blind channel identification and equalization for orthogonal frequency division multiplexing (OFDM) system using a guard interval (GI). To perform channel identification, Subspace-based methods are proposed. To achieve enhanced performance and robustness to channel frequency nulls, receiver diversity and OFDM is combined. The performance of the proposed system is illustrated by computer...
We introduce blind channel identification and equalization for orthogonal frequency division multiplexing (OFDM) system without using a guard interval (GI). Inter-symbol-interference (ISI) is significantly reduced by truncation method. To perform channel identification, Subspace and Maximum Likelihood methods are proposed. To achieve enhanced performance and robustness to channel frequency nulls,...
This paper proposes a novel blind channel estimation method for STC-OFDM with two transmit antennas and one receive antenna. The number of received blocks needed for blind channel estimation is significantly reduced by repeated use of the same blocks. This feature makes it more realistic when the channel state is fast-varying. Simulation results confirm that the proposed method is effective.
A subspace-based method is proposed for estimating the channel responses of single-input-multiple-output (SIMO) Orthogonal Frequency Division Multiplexing (OFDM) system. Our technique relies on minimum noise subspace (MNS) decomposition to obtain noise subspace in a parallel structure from a set of pairs (combinations) of system outputs that form a properly connected sequence (PCS). The developed...
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