On channel identifiability based on second order cyclic spectrum

Author

Ding, Z.

Author_Institution

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

fYear

1992

fDate

11-14 Oct 1992

Firstpage

226

Abstract

The author presents results that prove the identifiability of linear finite-dimensional channels with higher than minimum bandwidth based on the use of second-order cyclic statistics only. Since the sampled channel output is also cyclostationary, second-order cyclic statistics of data samples obtained at higher than the Nyquist sampling rate can be used to identify the unknown linear channel. Without the need for higher-order statistics, fractionally spaced equalizers exploiting the cyclostationary property of the channel output may become effective alternatives to conventional schemes based on higher-order statistics

Keywords

spectral analysis; telecommunication channels; Nyquist sampling rate; bandwidth; channel identifiability; cyclostationary property; data samples; fractionally spaced equalizers; linear finite-dimensional channels; sampled channel output; second order cyclic spectrum; second-order cyclic statistics; Autocorrelation; Bandwidth; Blind equalizers; Data communication; Digital communication; Higher order statistics; Intersymbol interference; Sampling methods; Signal processing; Signal sampling;

fLanguage

English

Publisher

ieee

Conference_Titel

Military Communications Conference, 1992. MILCOM '92, Conference Record. Communications - Fusing Command, Control and Intelligence., IEEE

Conference_Location

San Diego, CA

Print_ISBN

0-7803-0585-X

Type

conf

DOI

10.1109/MILCOM.1992.244160

Filename

244160