Blind sequence estimation

Author

Tong, Lang

Author_Institution

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

Volume

43

Issue

12

fYear

1995

fDate

12/1/1995 12:00:00 AM

Firstpage

2986

Lastpage

2994

Abstract

Estimating the data sequence from the received signal without knowing the transmission channel is referred to as blind sequence estimation. A new blind sequence estimation scheme is proposed by exploiting the second order statistical properties of the source and the algebraic structure of the data sequence. An optimal source (deterministic) correlation estimator and the Viterbi algorithm are used to achieve blind sequence estimation. The proposed approach also has a special structure particularly attractive for time varying channels

Keywords

correlation methods; equalisers; estimation theory; maximum likelihood estimation; time-varying channels; Viterbi algorithm; algebraic structure; blind sequence estimation; data sequence estimation; deterministic correlation estimator; optimal source correlation estimator; received signal; second order statistical properties; time varying channels; transmission channel; Adaptive equalizers; Blind equalizers; Convergence; Decision feedback equalizers; Diversity reception; Intersymbol interference; Mobile communication; Modeling; Multipath channels; Viterbi algorithm;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.477501

Filename

477501