Matrix computations (3rd ed.)
Signal Processing Advances in Wireless and Mobile Communications, Volume 1: Trends in Channel Estimation and Equalization
Space-Time Block Coding for Wireless Communications
Space-Time Block Coding for Wireless Communications
Blind identification with periodic modulation: a time-domain approach
IEEE Transactions on Signal Processing
Subspace-based (semi-) blind channel estimation for block precodedspace-time OFDM
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Matrix outer-product decomposition method for blind multiplechannel identification
IEEE Transactions on Signal Processing
A hybrid PAPR reduction scheme for coded OFDM
IEEE Transactions on Wireless Communications
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
Transmit antennae space-time block coding for generalized OFDM in the presence of unknown multipath
IEEE Journal on Selected Areas in Communications
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We propose a blind channel estimation method for space-time block-coded single-carrier with frequency-domain equalization (SC-FDE) systems based on a simple, nonredundant precoding. This method of precoding allows us to better structure the relation between the covariance matrices of the received data and the products of channel coefficients. Using this structure, we can easily obtain the products of channel coefficients by using only subtraction and division. Then each of the two channel impulse response vectors is obtained by computing the eigenvector that is associated with the maximal eigenvalue of a Hermitian matrix formed from the corresponding products of channel coefficients. The proposed framework guarantees the unique recovery of all the products of channel coefficients for colored or white noise cases. The impact of the precoding on channel estimation and equalization is also discussed. Simulations are used to demonstrate the performance of the proposed method.