On channel identification based on second-order cyclic spectra

Author

Ding, Zhi ; Li, Y.

Author_Institution

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

Volume

42

Issue

5

fYear

1994

fDate

5/1/1994 12:00:00 AM

Firstpage

1260

Lastpage

1264

Abstract

Gardener (1991) presented an interesting use of cyclostationarity for channel identification in PAM data communication systems. The present paper presents new results that address the identification of linear rational channels with higher than minimum bandwidth based on the use of second-order cyclic statistics. Unlike the approach taken by Gardener, the present authors show that channel identification is achievable for a class of linear channels without the need for a pilot tone or training periods. Moreover, channel identification based on cyclic statistics does not preclude Gaussian or near-Gaussian inputs

Keywords

amplitude modulation; data communication systems; linear systems; parameter estimation; spectral analysis; statistical analysis; telecommunication channels; Gaussian inputs; PAM data communication systems; QAM; bandwidth; channel identification; cyclic statistics; cyclostationarity; linear rational channel; near-Gaussian inputs; second-order cyclic spectra; second-order cyclic statistics; Autocorrelation; Bandwidth; Blind equalizers; Data communication; Finite impulse response filter; Higher order statistics; Quadrature amplitude modulation; Signal processing; Transfer functions; Transmitters;

fLanguage

English

Journal_Title

Signal Processing, IEEE Transactions on

Publisher

ieee

ISSN

1053-587X

Type

jour

DOI

10.1109/78.295187

Filename

295187