Blind channel estimation by least squares smoothing

Author

Tong, Lang ; Zhao, Qing

Author_Institution

Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA

Volume

4

fYear

1998

fDate

12-15 May 1998

Firstpage

2121

Abstract

A linear least squares smoothing approach is proposed for the blind channel estimation. It is shown that the single-input multiple-output moving average process has the property that the error sequence of the least squares smoother, under certain conditions, uniquely determines the channel impulse response. The relationship among the dimension of the observation space, channel order and smoothing delay is presented. A new algorithm for channel estimation based on the least squares smoothing is developed. The proposed approach has the finite-sample convergence property in the absence of the channel noise. It also has a structure suitable for recursive implementations

Keywords

convergence of numerical methods; delays; least squares approximations; moving average processes; parameter estimation; recursive estimation; signal sampling; smoothing methods; telecommunication channels; transient response; SIMO; blind channel estimation; channel impulse response; channel order; error sequence; finite-sample convergence property; linear least squares smoothing; observation space dimension; recursive implementations; single-input multiple-output moving average process; smoothing delay; Blind equalizers; Channel estimation; Contracts; Convergence; Least squares approximation; Least squares methods; Maximum likelihood estimation; Smoothing methods; Stochastic resonance; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Seattle, WA

ISSN

1520-6149

Print_ISBN

0-7803-4428-6

Type

conf

DOI

10.1109/ICASSP.1998.681564

Filename

681564