Linear prediction error method for blind identification of time-varying channels: theoretical results

Author

Tugnait, Jitendra K.

Author_Institution

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

Volume

4

fYear

2001

fDate

2001

Firstpage

2125

Abstract

Blind channel estimation for SIMO 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 to estimate consistently 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; fading channels; parameter estimation; prediction theory; statistical analysis; time-varying channels; SIMO time-varying channels; blind equalization; blind identification; complex exponential basis expansion model; correlation function; fast fading channels; linear prediction error method; second-order statistics; Blind equalizers; Computer errors; Data engineering; Fading; Finite impulse response filter; Frequency; Random variables; Statistics; Time-varying channels; Vectors;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2001. Proceedings. (ICASSP '01). 2001 IEEE International Conference on

Conference_Location

Salt Lake City, UT

ISSN

1520-6149

Print_ISBN

0-7803-7041-4

Type

conf

DOI

10.1109/ICASSP.2001.940413

Filename

940413