A signal perturbation free whitening-rotation-based semiblind approach for MIMO channel estimation
IEEE Transactions on Signal Processing
Minimum bit error rate multiuser transmission designs using particle swarm optimisation
IEEE Transactions on Wireless Communications
Fast computation of convolution operations via low-rank approximation
Applied Numerical Mathematics
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For multiuser systems, several direct blind identification algorithms require that the linear multiple-input multiple-output (MIMO) system have a full rank convolution matrix. This condition requires that the system transfer function be irreducible and column reduced. We show that this restrictive identification condition can be relaxed for some direct blind identification methods to accommodate more practical scenarios. Algorithms such as the outer-product decomposition algorithm only require minor length adjustment to its processing window without the column-reduced condition. This result allows direct blind identification methods to be applicable to MIMO without requiring a full-rank channel convolution matrix.