Nima Sarmadi

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Two closed-form blind channel estimators for orthogonally coded multiple-input multiple-output orthogonal frequency-division multi-plexing (MIMO-OFDM) systems are proposed. The key idea of our approaches is to estimate the channel parameters in the time domain instead of doing this in the frequency domain. Our ¿rst approach is based on the maximum(More)
— We propose a novel semi-blind tensor-based MIMO channel estimation scheme that employs orthogonal space-time block codes and per-antenna power loading at the transmitter. Our scheme eliminates the unknown transmit codewords and constructs a tensor model that contains the channel coefficients by performing post-processing at the receiver. Then, the channel(More)
In this paper, a new blind channel estimator for multiple-input mUltiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) systems is proposed. Based on the properties of the underlying orthogonal space-time block code (OSTBC), a novel subspace model is devised. The proposed tech­ nique consists in a closed-form approach in which the channels(More)
In this paper, the problem of blind subspace-based channel estimation in multiple-input multiple-output (MIMO) systems under orthogonal space-time block coded (OSTBC) transmission is investigated. We introduce a virtual snapshot model in which the redundancies in the OSTBC are exploited to augment the received data. We show that the vector of true channel(More)
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