Blind identification and equalization of multichannel FIR systems in unbalanced noise environments

Authors:
Roberto Guidorzi;Roberto Diversi;Umberto Soverini
Affiliations:
Dipartimento di Elettronica, Informatica e Sistemistica. Universití di Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy;Dipartimento di Elettronica, Informatica e Sistemistica. Universití di Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy;Dipartimento di Elettronica, Informatica e Sistemistica. Universití di Bologna, Viale del Risorgimento 2, 40136 Bologna, Italy
Venue:
Signal Processing
Year:
2007

Citing 14
Cited 0

The Frisch scheme in dynamic system identification

Automatica (Journal of IFAC) - Identification and system parameter estimation
Performance analysis of the subspace method for blind channel identification

Signal Processing - Special issue on subspace methods, part I: array signal processing and subspace computations
On performance of cross-relation method for blind-channel identification

Signal Processing
Blind identification and equalization of two-channel FIR systems in unbalanced noise environments

Signal Processing - Content-based image and video retrieval
A least squares component normalization approach to blind channel identification

ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 04
EVAM: an eigenvector-based algorithm for multichannel blinddeconvolution of input colored signals

IEEE Transactions on Signal Processing
Adaptive solution for blind identification/equalization usingdeterministic maximum likelihood

IEEE Transactions on Signal Processing
A least-squares approach to blind channel identification

IEEE Transactions on Signal Processing
Subspace methods for the blind identification of multichannel FIRfilters

IEEE Transactions on Signal Processing
MIMO channel blind identification in the presence of spatiallycorrelated noise

IEEE Transactions on Signal Processing
Fast maximum likelihood for blind identification of multiple FIRchannels

IEEE Transactions on Signal Processing
Strict identifiability of multiple FIR channels driven by anunknown arbitrary sequence

IEEE Transactions on Signal Processing
Prediction error method for second-order blind identification

IEEE Transactions on Signal Processing
Blind identification and equalization based on second-order statistics: a time domain approach

IEEE Transactions on Information Theory

Quantified Score

Hi-index	0.08

Visualization

Abstract

This paper considers the problem of identifying and equalizing a set of FIR channels driven by the same input sequence and with outputs affected by unknown amounts of additive noise. The new procedure proposed here allows the estimation of the variances of the noises, of the order of the channels and of their parameters. This procedure leads to good results also when applied to short sequences of data as required in fast-varying environments like mobile communication ones.