Data-recursive algorithms for blind channel identification in oversampled communication systems

Author

Goeckel, Dennis L. ; Hero, Alfred O. ; Stark, Wayne E.

Author_Institution

Dept. of Electr. & Comput. Eng., Massachusetts Univ., Amherst, MA, USA

Volume

46

Issue

8

fYear

1998

fDate

8/1/1998 12:00:00 AM

Firstpage

2217

Lastpage

2220

Abstract

Data-recursive algorithms are presented for performing blind channel identification in oversampled communication systems. Novel on-line solutions with complexities that are only linear in the oversampling rate are considered, and mean convergence conditions are provided. Numerical results are presented for a binary phase-shift keyed (BPSK) system

Keywords

adaptive signal processing; convergence of numerical methods; identification; phase shift keying; recursive estimation; signal sampling; statistical analysis; stochastic processes; telecommunication channels; BPSK; adaptive algorithms; binary phase-shift keyed system; blind channel identification; conjugate gradient algorithm; data-recursive algorithms; equalisation; mean convergence conditions; offline subchannel response matching; on-line solutions; oversampled communication systems; oversampling rate; second order identification; second order statistics; stochastic gradient algorithm; Adaptive signal processing; Binary phase shift keying; Convergence; Eigenvalues and eigenfunctions; Equalizers; Higher order statistics; Military computing; Signal processing algorithms; Spread spectrum communication; Underwater communication;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.705439

Filename

705439