On blind identification of S.I.M.O. time-varying channels using second-order statistics

Author

Tugnait, Jitendra K. ; Luo, Weilin

Author_Institution

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

Volume

1

fYear

2001

fDate

4-7 Nov. 2001

Firstpage

747

Abstract

Blind estimation of SIMO (single-input multiple-output) rapidly time-varying communications 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 estimation of time-invariant channels is extended to time-varying channels represented by a CE-BEM. Sufficient conditions for identifiability/equalizability are investigated. The cyclostationary nature of the received signal is exploited to consistently estimate the time-varying correlation function of the data from a single observation record. A simulation example is presented to illustrate the proposed approach.

Keywords

blind equalisers; correlation methods; identification; parameter estimation; prediction theory; statistical analysis; time-varying channels; CE-BEM; SIMO channels; blind estimation; communications channels; complex exponential basis expansion model; correlation function estimation; cyclostationary; equalizability; identifiability; linear prediction error; rapidly time-varying channels; second-order statistics; single-input multiple-output channels; Communication channels; Data engineering; Digital communication; Fading; Finite impulse response filter; Frequency; Hydrogen; Statistics; Time factors; Time-varying channels;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 2001. Conference Record of the Thirty-Fifth Asilomar Conference on

Conference_Location

Pacific Grove, CA, USA

ISSN

1058-6393

Print_ISBN

0-7803-7147-X

Type

conf

DOI

10.1109/ACSSC.2001.987024

Filename

987024