Joint order detection and blind channel estimation by least squares smoothing

Author

Tong, Lang ; Zhao, Qing

Author_Institution

Dept. of Electr. Eng., Cornell Univ., Ithaca, NY, USA

Volume

47

Issue

9

fYear

1999

fDate

9/1/1999 12:00:00 AM

Firstpage

2345

Lastpage

2355

Abstract

A joint order detection and blind estimation algorithm for single input multiple output channels is proposed. By exploiting the isomorphic relation between the channel input and output subspaces, it is shown that the channel order and channel impulse response are uniquely determined by finite least squares smoothing error sequences in the absence of noise. The proposed subspace algorithm is shown to have marked improvement over existing algorithms in performance and robustness in simulations

Keywords

estimation theory; identification; least squares approximations; signal detection; smoothing methods; telecommunication channels; transient response; blind channel estimation; channel input; finite least squares smoothing error sequences; impulse response; isomorphic relation; order detection; output subspaces; performance; robustness; single input multiple output channels; subspace algorithm; Blind equalizers; Channel estimation; Chromium; Convergence; Least squares approximation; Least squares methods; Noise robustness; Signal processing algorithms; Smoothing methods; Stochastic resonance;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.782179

Filename

782179