Title :
A stochastic subspace algorithm for blind channel identification in noise fields with unknown spatial color
Author :
Vandaele, Piet ; Moonen, Marc
Author_Institution :
ESAT, Katholieke Univ., Leuven, Heverlee, Belgium
Abstract :
The blind channel identification problem is formulated in a stochastic state space framework. Starting from a state space model we present a preprocessing step based on two orthogonal subspace projections. Using these orthogonal projections, we derive an algorithm for blind channel estimation which is insensitive to the spatial color of the noise. The performance of this new algorithm is demonstrated through simulation examples
Keywords :
blind equalisers; identification; noise; state-space methods; stochastic processes; telecommunication channels; algorithm performance; blind channel estimation; blind channel identification; blind equalization algorithm; data model; noise; noise fields; orthogonal subspace projections; preprocessing step; simulation; spatial color; state space model; stochastic state space; stochastic subspace algorithm; Additive noise; Blind equalizers; Colored noise; Data models; Equations; Information processing; Laboratories; Signal processing algorithms; State-space methods; Stochastic resonance;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.761234
