Blind channel identification based on second-order statistics: a frequency-domain approach

Author

Tong, Lang ; Xu, Guanghan ; Hassibi, B. ; Kailath, T.

Author_Institution

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

Volume

41

Issue

1

fYear

1995

fDate

1/1/1995 12:00:00 AM

Firstpage

329

Lastpage

334

Abstract

In this communication, necessary and sufficient conditions are presented for the unique blind identification of possibly nonminimum phase channels driven by cyclostationary processes. Using a frequency domain formulation, it is first shown that a channel can be identified by the second-order statistics of the observation if and only if the channel transfer function does not have special uniformly spaced zeros. This condition leads to several necessary and sufficient conditions on the observation spectra and the channel impulse response. Based on the frequency-domain formulation, a new identification algorithm is proposed

Keywords

frequency-domain analysis; higher order statistics; identification; signal detection; telecommunication channels; transfer functions; transient response; blind channel identification; channel impulse response; channel transfer function; cyclostationary processes; frequency-domain approach; identification algorithm; nonminimum phase channels; observation spectra; second-order statistics; uniformly spaced zeros; Frequency domain analysis; Maximum likelihood detection; Military computing; Signal processing; Statistics; Sufficient conditions; System identification; Time domain analysis; Transfer functions; US Government;

fLanguage

English

Journal_Title

Information Theory, IEEE Transactions on

Publisher

ieee

ISSN

0018-9448

Type

jour

DOI

10.1109/18.370088

Filename

370088