Jin-Goog Kim

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We propose a method of obtaining the autocorrelation matrix to improve the performance of the subspace-based channel estimation method. By exploiting the circulant property of the received signal, the proposed method reduces the number of received blocks required to satisfy the persistency of excitation (POE) criterion for the input and decreases the(More)
This paper proposes a blind carrier frequency offset (CFO) estimation scheme for OFDM systems. In the proposed scheme, the covariance matrix of the received signal is obtained through the circular shifts of OFDM blocks in the time-domain. From the fact that the covariance matrix has a banded structure in the absence of CFO, we estimate CFO through(More)
This paper presents a channel estimation scheme for multiple-input multiple-output with orthogonal frequency-division multiplexing (MIMO-OFDM) in fast varying Rayleigh channels. To handle rapid variation of channels within a transmission block, we propose a novel maximum a posteriori probability-based channel estimation scheme using pilot symbols. With the(More)
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(More)
A channel estimation method for multiple input multiple output (MIMO)-OFDM with fast fading channels is proposed to increase estimation quality and reduce the computational complexity. Specifically, we use a space-time correlation between channel coefficients, and compensate the ICI term. Since ICI compensation can be obtained without any pilot symbols for(More)
We consider the pilot symbols for orthogonal frequency-division multiplexing (OFDM) over doubly selective channels. Locations, powers, and phases of pilot symbols play important roles in the channel estimation. We attempt to minimize the mean-square error (MSE) by selecting powers and phases of pilot symbols. In this paper, based on the MSE-optimal pilot(More)
A new approach to semi-blind channel estimation for single-input multiple-output orthogonal frequency division multiplexing (SIMO-OFDM) systems is proposed. The proposed method exploits both the antenna diversity and the statistical property of the received signal. By exploiting the receive antenna diversity, the residual error is reduced. In addition, we(More)
An approach to improve the performance of subspace-based channel estimation for multiple-input multiple-output (MIMO) systems is proposed. In a subspace-based channel estimation method, a small number of received blocks cause the residual error which affects the accuracy of the noise subspace because the covariance matrix is estimated from the received(More)
This paper presents a semi-blind channel estimation scheme for OFDM systems with multiple receive antennas. Using the statistical property of the received signal, we combine the pilot-based least-squares estimator with the subspace-based blind estimator. To improve the performance of the subspace-based method, we reduce the effect on the residual error(More)
This paper presents a channel estimation scheme for multiple-input multiple-output with orthogonal frequency-division multiplexing (MIMO-OFDM) in fast varying Rayleigh channels. To handle rapid variation of channels within a transmission block, we propose a novel maximum a posteriori probability-based channel estimation scheme using pilot symbols. With the(More)
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