Blind equalization in the presence of jammers and unknown noise: solutions based on second-order cyclostationary statistics

Author

Chevreuil, A. ; Desbouvries, F. ; Gorokhov, A. ; Loubaton, P.H. ; Vignat, C.

Author_Institution

Dept. Signal et Image, Ecole Nat. Superieure des Telecommun., Paris, France

Volume

46

Issue

1

fYear

1998

fDate

1/1/1998 12:00:00 AM

Firstpage

259

Lastpage

263

Abstract

Addresses the blind identification of a linear time-invariant channel using some second-order cyclostationary statistics. In contrast to other contributions, the case where the second-order statistics of the noise and of the jammers are totally unknown is considered. It is shown that the channel can be identified consistently by adapting the so-called subspace method of Moulines et al. (1995). This adaptation is valid for fractionally spaced systems and, more interestingly, for the general systems exhibiting transmitter induced cyclostationarity introduced by Tsatsanis and Glannakis (1995). The new subspace method is based in both cases on a common tool, i.e., a general spectral factorization algorithm. The identifiability conditions are specified and some simulation examples are given

Keywords

digital communication; equalisers; identification; jamming; matrix decomposition; noise; statistical analysis; telecommunication channels; blind equalization; blind identification; fractionally spaced systems; identifiability; jammers; linear time-invariant channel; second-order cyclostationary statistics; spectral factorization algorithm; subspace method; transmitter induced cyclostationarity; unknown noise; Additive noise; Blind equalizers; Communication standards; Digital communication; Digital modulation; Intersymbol interference; Jamming; Multi-stage noise shaping; Statistics; Transmitters;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.651232

Filename

651232