On blind equalization of SIMO time-varying channels

Author

Tugnait, Jitendra K.

Author_Institution

Dept. of Electr. & Comput. Eng., Auburn Univ., AL, USA

fYear

2001

fDate

2001

Firstpage

98

Lastpage

101

Abstract

Blind channel estimation and equalization for SIMO (single-input multiple-output) time-varying channels is considered using only the second-order statistics of the data. The time-varying channel is assumed to be described by a complex exponential basis expansion model (CE-BEM). The linear prediction error method for blind identification of time-invariant channels is extended to time-varying channels represented by a CE-BEM. Sufficient conditions for identifiability are investigated. The cyclostationary nature of the received signal is exploited for consistent estimation of the time-varying correlation function of the data from a single observation record. The focus of the paper is on certain theoretical issues

Keywords

blind equalisers; correlation methods; parameter estimation; prediction theory; statistical analysis; time-varying channels; 2nd order statistics; SIMO time-varying channels; blind channel estimation; blind equalization; blind identification; complex exponential basis expansion model; cyclostationary nature; linear prediction error method; received signal; second-order statistics; single observation; single-input multiple-output; time-varying correlation function; Blind equalizers; Data engineering; Fading; Finite impulse response filter; Frequency; Hydrogen; Statistics; Sufficient conditions; Time-varying channels; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, 2001. (SPAWC '01). 2001 IEEE Third Workshop on Signal Processing Advances in

Conference_Location

Taiwan

Print_ISBN

0-7803-6720-0

Type

conf

DOI

10.1109/SPAWC.2001.923853

Filename

923853