An approach to nonirreducible MIMO FIR channel equalization
IEEE Transactions on Circuits and Systems II: Express Briefs
An iterative equalization method for nonirreducible MIMO FIR channels
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Blind separation of mutually correlated sources using precoders
IEEE Transactions on Neural Networks
Estimation of basis frequencies for time-varying SIMO channels: a second-order method
IEEE Transactions on Signal Processing
Blind Deconvolution of Multi-Input Single-Output Systems Using the Distribution of Point Distances
Journal of Signal Processing Systems
| Hi-index | 35.69 |
Identification of finite-impulse-response (FIR) and multiple-input multiple-output (MIMO) channels driven by unknown uncorrelated colored sources is a challenging problem. In this paper, a group decorrelation enhanced subspace (GDES) method is presented. The GDES method uses the idea of subspace decomposition and signal decorrelation more effectively than the joint diagonalization enhanced subspace (JDES) method previously reported in the literature. The GDES method has a much better performance than the JDES method. The correctness of the GDES method is proved assuming that 1) the channel matrix is irreducible and column reduced and 2) the source spectral matrix has distinct diagonal functions. However, the GDES method has an inherent ability to trade off between the required condition on the channel matrix and that on the source spectral matrix. Simulations show that the GDES method yields good results even when the channel matrix is not irreducible, which is not possible at all for the JDES method.