Blind identification of MIMO-FIR systems: a generalized linear prediction approach
Signal Processing - Special issue on blind source separation and multichannel deconvolution
A weighted linear prediction approach for the blind CDMA forward link channel estimation
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 05
A signal perturbation free whitening-rotation-based semiblind approach for MIMO channel estimation
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
Perturbation analysis for subspace decomposition with applications in subspace-based algorithms
IEEE Transactions on Signal Processing
Whitening-rotation-based semi-blind MIMO channel estimation
IEEE Transactions on Signal Processing
Optimal training design for MIMO OFDM systems in mobile wireless channels
IEEE Transactions on Signal Processing
A Semiblind Channel Estimation Approach for MIMO–OFDM Systems
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
On the second-order statistics of the eigenvectors of samplecovariance matrices
IEEE Transactions on Signal Processing
Blind estimation and equalization of MIMO channels via multidelay whitening
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
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In this paper, a novel signal-perturbation-free (SPF) approach is presented for frequency-selective multiple-input-multiple-output orthogonal frequency division multiplexing channel estimation. First, an efficient transmit scheme, which bears partial information of the correlation matrix of the transmitted signal called SPF data, is proposed for the cancellation of signal-perturbation error at the receiver. A detailed transmit structure is designed to implement the SPF scheme, which is then employed along with linear prediction (LP) to derive a new semiblind channel-estimation algorithm. It is shown that the new transmit scheme can completely cancel the signal-perturbation error in the noise-free case while being able to sufficiently suppress the perturbation error in noisy conditions. It is also shown that the SPF data needs only to be transmitted over a small number of subcarriers, and its overhead to the overall transmission is negligible as compared with regular pilot signals. Computer simulations show that the proposed SPF solution significantly outperforms the LP semiblind method without using the proposed transmit scheme as well as the least square method in terms of the mean-square error of the channel estimate.